Pandas Profiling Report

Dataset statistics

Number of variables	41
Number of observations	79672
Missing cells	43336
Missing cells (%)	1.3%
Duplicate rows	11
Duplicate rows (%)	< 0.1%
Total size in memory	24.9 MiB
Average record size in memory	328.0 B

Variable types

Categorical	26
Numeric	15

Alerts

`count` has constant value "1"	Constant
Dataset has 11 (< 0.1%) duplicate rows	Duplicates
`animal_id_outcome` has a high cardinality: 71961 distinct values	High cardinality
`date_of_birth` has a high cardinality: 5923 distinct values	High cardinality
`outcome_datetime` has a high cardinality: 65686 distinct values	High cardinality
`outcome_monthyear` has a high cardinality: 55 distinct values	High cardinality
`dob_monthyear` has a high cardinality: 55 distinct values	High cardinality
`animal_id_intake` has a high cardinality: 71961 distinct values	High cardinality
`breed` has a high cardinality: 2155 distinct values	High cardinality
`color` has a high cardinality: 529 distinct values	High cardinality
`found_location` has a high cardinality: 36576 distinct values	High cardinality
`intake_datetime` has a high cardinality: 56747 distinct values	High cardinality
`intake_monthyear` has a high cardinality: 54 distinct values	High cardinality
`time_in_shelter` has a high cardinality: 29319 distinct values	High cardinality
`age_upon_outcome_(days)` is highly correlated with `age_upon_outcome_(years)` and 3 other fields	High correlation
`age_upon_outcome_(years)` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`outcome_month` is highly correlated with `intake_month`	High correlation
`outcome_year` is highly correlated with `dob_year` and 1 other fields	High correlation
`outcome_number` is highly correlated with `intake_number`	High correlation
`dob_year` is highly correlated with `age_upon_outcome_(days)` and 5 other fields	High correlation
`dob_month` is highly correlated with `intake_month`	High correlation
`age_upon_intake_(days)` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`age_upon_intake_(years)` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`intake_month` is highly correlated with `outcome_month` and 1 other fields	High correlation
`intake_year` is highly correlated with `outcome_year` and 1 other fields	High correlation
`intake_number` is highly correlated with `outcome_number`	High correlation
`age_upon_outcome_(days)` is highly correlated with `age_upon_outcome_(years)` and 3 other fields	High correlation
`age_upon_outcome_(years)` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`outcome_month` is highly correlated with `intake_month`	High correlation
`outcome_year` is highly correlated with `intake_year`	High correlation
`outcome_number` is highly correlated with `intake_number`	High correlation
`dob_year` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`dob_month` is highly correlated with `intake_month`	High correlation
`age_upon_intake_(days)` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`age_upon_intake_(years)` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`intake_month` is highly correlated with `outcome_month` and 1 other fields	High correlation
`intake_year` is highly correlated with `outcome_year`	High correlation
`intake_number` is highly correlated with `outcome_number`	High correlation
`age_upon_outcome_(days)` is highly correlated with `age_upon_outcome_(years)` and 3 other fields	High correlation
`age_upon_outcome_(years)` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`outcome_month` is highly correlated with `intake_month`	High correlation
`outcome_year` is highly correlated with `intake_year`	High correlation
`outcome_number` is highly correlated with `intake_number`	High correlation
`dob_year` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`age_upon_intake_(days)` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`age_upon_intake_(years)` is highly correlated with `age_upon_outcome_(days)` and 3 other fields	High correlation
`intake_month` is highly correlated with `outcome_month`	High correlation
`intake_year` is highly correlated with `outcome_year`	High correlation
`intake_number` is highly correlated with `outcome_number`	High correlation
`intake_weekday` is highly correlated with `count`	High correlation
`intake_type` is highly correlated with `count` and 1 other fields	High correlation
`outcome_type` is highly correlated with `outcome_subtype` and 1 other fields	High correlation
`age_upon_outcome` is highly correlated with `age_upon_intake_age_group` and 3 other fields	High correlation
`outcome_subtype` is highly correlated with `outcome_type` and 2 other fields	High correlation
`sex_upon_outcome` is highly correlated with `sex_upon_intake` and 1 other fields	High correlation
`outcome_monthyear` is highly correlated with `dob_monthyear` and 2 other fields	High correlation
`dob_monthyear` is highly correlated with `outcome_monthyear` and 2 other fields	High correlation
`intake_condition` is highly correlated with `count`	High correlation
`sex_upon_intake` is highly correlated with `sex_upon_outcome` and 1 other fields	High correlation
`age_upon_intake_age_group` is highly correlated with `age_upon_outcome` and 3 other fields	High correlation
`intake_monthyear` is highly correlated with `outcome_monthyear` and 2 other fields	High correlation
`age_upon_intake` is highly correlated with `age_upon_outcome` and 3 other fields	High correlation
`count` is highly correlated with `intake_weekday` and 15 other fields	High correlation
`outcome_weekday` is highly correlated with `count`	High correlation
`animal_type` is highly correlated with `intake_type` and 2 other fields	High correlation
`age_upon_outcome_age_group` is highly correlated with `age_upon_outcome` and 3 other fields	High correlation
`age_upon_outcome` is highly correlated with `outcome_subtype` and 12 other fields	High correlation
`outcome_subtype` is highly correlated with `age_upon_outcome` and 7 other fields	High correlation
`outcome_type` is highly correlated with `age_upon_outcome` and 5 other fields	High correlation
`sex_upon_outcome` is highly correlated with `age_upon_outcome` and 4 other fields	High correlation
`age_upon_outcome_(days)` is highly correlated with `age_upon_outcome` and 8 other fields	High correlation
`age_upon_outcome_(years)` is highly correlated with `age_upon_outcome` and 8 other fields	High correlation
`age_upon_outcome_age_group` is highly correlated with `age_upon_outcome` and 8 other fields	High correlation
`outcome_month` is highly correlated with `outcome_monthyear` and 4 other fields	High correlation
`outcome_year` is highly correlated with `outcome_monthyear` and 4 other fields	High correlation
`outcome_monthyear` is highly correlated with `outcome_month` and 7 other fields	High correlation
`outcome_hour` is highly correlated with `outcome_subtype`	High correlation
`outcome_number` is highly correlated with `intake_number`	High correlation
`dob_year` is highly correlated with `age_upon_outcome` and 12 other fields	High correlation
`dob_month` is highly correlated with `outcome_month` and 4 other fields	High correlation
`dob_monthyear` is highly correlated with `outcome_month` and 7 other fields	High correlation
`age_upon_intake` is highly correlated with `age_upon_outcome` and 10 other fields	High correlation
`animal_type` is highly correlated with `age_upon_outcome` and 4 other fields	High correlation
`intake_type` is highly correlated with `outcome_subtype` and 4 other fields	High correlation
`sex_upon_intake` is highly correlated with `age_upon_outcome` and 11 other fields	High correlation
`age_upon_intake_(days)` is highly correlated with `age_upon_outcome` and 8 other fields	High correlation
`age_upon_intake_(years)` is highly correlated with `age_upon_outcome` and 8 other fields	High correlation
`age_upon_intake_age_group` is highly correlated with `age_upon_outcome` and 8 other fields	High correlation
`intake_month` is highly correlated with `outcome_month` and 4 other fields	High correlation
`intake_year` is highly correlated with `outcome_year` and 4 other fields	High correlation
`intake_monthyear` is highly correlated with `outcome_month` and 7 other fields	High correlation
`intake_number` is highly correlated with `outcome_number`	High correlation
`outcome_subtype` has 43324 (54.4%) missing values	Missing
`animal_id_outcome` is uniformly distributed	Uniform
`outcome_datetime` is uniformly distributed	Uniform
`animal_id_intake` is uniformly distributed	Uniform
`outcome_hour` has 2044 (2.6%) zeros	Zeros

Reproduction

Analysis started	2023-03-14 02:16:56.244315
Analysis finished	2023-03-14 02:18:27.461084
Duration	1 minute and 31.22 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

age_upon_outcome
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	46
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

1 year	14750
2 years	11542
2 months	9246
3 years	5277
3 months	3401
Other values (41)	35456

Length

Max length	9
Median length	8
Mean length	7.154370419
Min length	5

Characters and Unicode

Total characters	570003
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	10 years
2nd row	7 years
3rd row	6 years
4th row	10 years
5th row	16 years

Common Values

Value	Count	Frequency (%)
1 year	14750	18.5%
2 years	11542	14.5%
2 months	9246	11.6%
3 years	5277	6.6%
3 months	3401	4.3%
1 month	3396	4.3%
4 years	3044	3.8%
5 years	2747	3.4%
4 months	2417	3.0%
5 months	1955	2.5%
Other values (36)	21897	27.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
years	31896	20.0%
months	23566	14.8%
2	22354	14.0%
1	19256	12.1%
year	14750	9.3%
3	10390	6.5%
4	6802	4.3%
5	4885	3.1%
weeks	4612	2.9%
6	3907	2.5%
Other values (21)	16926	10.6%

Most occurring characters

Value	Count	Frequency (%)
	79672	14.0%
s	60942	10.7%
e	56724	10.0%
y	47671	8.4%
a	47671	8.4%
r	46646	8.2%
h	26962	4.7%
t	26962	4.7%
m	26962	4.7%
o	26962	4.7%
Other values (14)	122829	21.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	405567	71.2%
Decimal Number	84764	14.9%
Space Separator	79672	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	60942	15.0%
e	56724	14.0%
y	47671	11.8%
a	47671	11.8%
r	46646	11.5%
h	26962	6.6%
t	26962	6.6%
m	26962	6.6%
o	26962	6.6%
n	26962	6.6%
Other values (3)	11103	2.7%

Decimal Number

Value	Count	Frequency (%)
1	25286	29.8%
2	22989	27.1%
3	10789	12.7%
4	7057	8.3%
5	5100	6.0%
6	4014	4.7%
8	2817	3.3%
7	2618	3.1%
0	2537	3.0%
9	1557	1.8%

Space Separator

Value	Count	Frequency (%)
	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	405567	71.2%
Common	164436	28.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	60942	15.0%
e	56724	14.0%
y	47671	11.8%
a	47671	11.8%
r	46646	11.5%
h	26962	6.6%
t	26962	6.6%
m	26962	6.6%
o	26962	6.6%
n	26962	6.6%
Other values (3)	11103	2.7%

Common

Value	Count	Frequency (%)
	79672	48.5%
1	25286	15.4%
2	22989	14.0%
3	10789	6.6%
4	7057	4.3%
5	5100	3.1%
6	4014	2.4%
8	2817	1.7%
7	2618	1.6%
0	2537	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	570003	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	79672	14.0%
s	60942	10.7%
e	56724	10.0%
y	47671	8.4%
a	47671	8.4%
r	46646	8.2%
h	26962	4.7%
t	26962	4.7%
m	26962	4.7%
o	26962	4.7%
Other values (14)	122829	21.5%

animal_id_outcome
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	71961
Distinct (%)	90.3%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

A721033	13
A718223	11
A706536	11
A694501	8
A716018	8
Other values (71956)	79621

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	557704
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	65890 ?
Unique (%)	82.7%

Sample

1st row	A006100
2nd row	A006100
3rd row	A006100
4th row	A047759
5th row	A134067

Common Values

Value	Count	Frequency (%)
A721033	13	< 0.1%
A718223	11	< 0.1%
A706536	11	< 0.1%
A694501	8	< 0.1%
A716018	8	< 0.1%
A738324	8	< 0.1%
A616444	8	< 0.1%
A735601	7	< 0.1%
A678294	7	< 0.1%
A593537	7	< 0.1%
Other values (71951)	79584	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a721033	13	< 0.1%
a706536	11	< 0.1%
a718223	11	< 0.1%
a694501	8	< 0.1%
a716018	8	< 0.1%
a738324	8	< 0.1%
a616444	8	< 0.1%
a738073	7	< 0.1%
a683108	7	< 0.1%
a701901	7	< 0.1%
Other values (71951)	79584	99.9%

Most occurring characters

Value	Count	Frequency (%)
7	88898	15.9%
A	79672	14.3%
6	70578	12.7%
5	41173	7.4%
3	40062	7.2%
8	39800	7.1%
0	39734	7.1%
1	39721	7.1%
4	39721	7.1%
2	39392	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	478032	85.7%
Uppercase Letter	79672	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	88898	18.6%
6	70578	14.8%
5	41173	8.6%
3	40062	8.4%
8	39800	8.3%
0	39734	8.3%
1	39721	8.3%
4	39721	8.3%
2	39392	8.2%
9	38953	8.1%

Uppercase Letter

Value	Count	Frequency (%)
A	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	478032	85.7%
Latin	79672	14.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	88898	18.6%
6	70578	14.8%
5	41173	8.6%
3	40062	8.4%
8	39800	8.3%
0	39734	8.3%
1	39721	8.3%
4	39721	8.3%
2	39392	8.2%
9	38953	8.1%

Latin

Value	Count	Frequency (%)
A	79672	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	557704	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	88898	15.9%
A	79672	14.3%
6	70578	12.7%
5	41173	7.4%
3	40062	7.2%
8	39800	7.1%
0	39734	7.1%
1	39721	7.1%
4	39721	7.1%
2	39392	7.1%

date_of_birth
Categorical

HIGH CARDINALITY

Distinct	5923
Distinct (%)	7.4%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

2014-05-05 00:00:00	112
2015-09-01 00:00:00	112
2014-04-21 00:00:00	106
2015-04-28 00:00:00	104
2016-05-01 00:00:00	103
Other values (5918)	79135

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	1513768
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1027 ?
Unique (%)	1.3%

Sample

1st row	2007-07-09 00:00:00
2nd row	2007-07-09 00:00:00
3rd row	2007-07-09 00:00:00
4th row	2004-04-02 00:00:00
5th row	1997-10-16 00:00:00

Common Values

Value	Count	Frequency (%)
2014-05-05 00:00:00	112	0.1%
2015-09-01 00:00:00	112	0.1%
2014-04-21 00:00:00	106	0.1%
2015-04-28 00:00:00	104	0.1%
2016-05-01 00:00:00	103	0.1%
2015-04-20 00:00:00	100	0.1%
2015-04-27 00:00:00	90	0.1%
2016-04-15 00:00:00	90	0.1%
2015-04-19 00:00:00	90	0.1%
2014-05-02 00:00:00	82	0.1%
Other values (5913)	78683	98.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00	79672	50.0%
2014-05-05	112	0.1%
2015-09-01	112	0.1%
2014-04-21	106	0.1%
2015-04-28	104	0.1%
2016-05-01	103	0.1%
2015-04-20	100	0.1%
2015-04-27	90	0.1%
2016-04-15	90	0.1%
2015-04-19	90	0.1%
Other values (5914)	78765	49.4%

Most occurring characters

Value	Count	Frequency (%)
0	669507	44.2%
-	159344	10.5%
:	159344	10.5%
1	139048	9.2%
2	130934	8.6%
	79672	5.3%
4	31837	2.1%
5	31344	2.1%
3	30798	2.0%
6	26507	1.8%
Other values (3)	55433	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1115408	73.7%
Dash Punctuation	159344	10.5%
Other Punctuation	159344	10.5%
Space Separator	79672	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	669507	60.0%
1	139048	12.5%
2	130934	11.7%
4	31837	2.9%
5	31344	2.8%
3	30798	2.8%
6	26507	2.4%
7	22670	2.0%
9	16469	1.5%
8	16294	1.5%

Dash Punctuation

Value	Count	Frequency (%)
-	159344	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	159344	100.0%

Space Separator

Value	Count	Frequency (%)
	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1513768	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	669507	44.2%
-	159344	10.5%
:	159344	10.5%
1	139048	9.2%
2	130934	8.6%
	79672	5.3%
4	31837	2.1%
5	31344	2.1%
3	30798	2.0%
6	26507	1.8%
Other values (3)	55433	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1513768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	669507	44.2%
-	159344	10.5%
:	159344	10.5%
1	139048	9.2%
2	130934	8.6%
	79672	5.3%
4	31837	2.1%
5	31344	2.1%
3	30798	2.0%
6	26507	1.8%
Other values (3)	55433	3.7%

outcome_subtype
Categorical

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	19
Distinct (%)	0.1%
Missing	43324
Missing (%)	54.4%
Memory size	622.6 KiB

Partner	19840
Foster	5490
SCRP	3205
Suffering	2549
Rabies Risk	2539
Other values (14)	2725

Length

Max length	19
Median length	7
Mean length	7.004374381
Min length	3

Characters and Unicode

Total characters	254595
Distinct characters	36
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Partner
2nd row	Partner
3rd row	Foster
4th row	Suffering
5th row	Foster

Common Values

Value	Count	Frequency (%)
Partner	19840	24.9%
Foster	5490	6.9%
SCRP	3205	4.0%
Suffering	2549	3.2%
Rabies Risk	2539	3.2%
Snr	752	0.9%
Aggressive	497	0.6%
In Kennel	351	0.4%
Offsite	350	0.4%
Medical	265	0.3%
Other values (9)	510	0.6%
(Missing)	43324	54.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
partner	19840	50.2%
foster	5667	14.3%
scrp	3205	8.1%
suffering	2549	6.5%
rabies	2539	6.4%
risk	2539	6.4%
snr	752	1.9%
in	545	1.4%
aggressive	497	1.3%
kennel	351	0.9%
Other values (12)	1028	2.6%

Most occurring characters

Value	Count	Frequency (%)
r	49415	19.4%
e	33273	13.1%
t	26126	10.3%
n	24514	9.6%
P	23054	9.1%
a	22831	9.0%
s	12130	4.8%
i	8927	3.5%
R	8283	3.3%
S	6523	2.6%
Other values (26)	39519	15.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	202258	79.4%
Uppercase Letter	49150	19.3%
Space Separator	3164	1.2%
Other Punctuation	23	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	49415	24.4%
e	33273	16.5%
t	26126	12.9%
n	24514	12.1%
a	22831	11.3%
s	12130	6.0%
i	8927	4.4%
o	5904	2.9%
f	5807	2.9%
g	3611	1.8%
Other values (9)	9720	4.8%

Uppercase Letter

Value	Count	Frequency (%)
P	23054	46.9%
R	8283	16.9%
S	6523	13.3%
F	5667	11.5%
C	3228	6.6%
A	568	1.2%
I	568	1.2%
K	351	0.7%
O	350	0.7%
M	265	0.5%
Other values (5)	293	0.6%

Space Separator

Value	Count	Frequency (%)
	3164	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	23	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	251408	98.7%
Common	3187	1.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	49415	19.7%
e	33273	13.2%
t	26126	10.4%
n	24514	9.8%
P	23054	9.2%
a	22831	9.1%
s	12130	4.8%
i	8927	3.6%
R	8283	3.3%
S	6523	2.6%
Other values (24)	36332	14.5%

Common

Value	Count	Frequency (%)
	3164	99.3%
/	23	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	254595	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	49415	19.4%
e	33273	13.1%
t	26126	10.3%
n	24514	9.6%
P	23054	9.1%
a	22831	9.0%
s	12130	4.8%
i	8927	3.5%
R	8283	3.3%
S	6523	2.6%
Other values (26)	39519	15.5%

outcome_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	10
Missing (%)	< 0.1%
Memory size	622.6 KiB

Adoption	33594
Transfer	23799
Return to Owner	14791
Euthanasia	6244
Died	690
Other values (4)	544

Length

Max length	15
Median length	8
Mean length	9.423489242
Min length	4

Characters and Unicode

Total characters	750694
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Return to Owner
2nd row	Return to Owner
3rd row	Return to Owner
4th row	Transfer
5th row	Return to Owner

Common Values

Value	Count	Frequency (%)
Adoption	33594	42.2%
Transfer	23799	29.9%
Return to Owner	14791	18.6%
Euthanasia	6244	7.8%
Died	690	0.9%
Disposal	304	0.4%
Rto-Adopt	179	0.2%
Missing	46	0.1%
Relocate	15	< 0.1%
(Missing)	10	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
adoption	33594	30.8%
transfer	23799	21.8%
return	14791	13.5%
to	14791	13.5%
owner	14791	13.5%
euthanasia	6244	5.7%
died	690	0.6%
disposal	304	0.3%
rto-adopt	179	0.2%
missing	46	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
n	93265	12.4%
o	82656	11.0%
r	77180	10.3%
t	69793	9.3%
e	54101	7.2%
a	42850	5.7%
i	40924	5.5%
d	34463	4.6%
p	34077	4.5%
A	33773	4.5%
Other values (16)	187612	25.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	626301	83.4%
Uppercase Letter	94632	12.6%
Space Separator	29582	3.9%
Dash Punctuation	179	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	93265	14.9%
o	82656	13.2%
r	77180	12.3%
t	69793	11.1%
e	54101	8.6%
a	42850	6.8%
i	40924	6.5%
d	34463	5.5%
p	34077	5.4%
s	30743	4.9%
Other values (7)	66249	10.6%

Uppercase Letter

Value	Count	Frequency (%)
A	33773	35.7%
T	23799	25.1%
R	14985	15.8%
O	14791	15.6%
E	6244	6.6%
D	994	1.1%
M	46	< 0.1%

Space Separator

Value	Count	Frequency (%)
	29582	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	179	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	720933	96.0%
Common	29761	4.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	93265	12.9%
o	82656	11.5%
r	77180	10.7%
t	69793	9.7%
e	54101	7.5%
a	42850	5.9%
i	40924	5.7%
d	34463	4.8%
p	34077	4.7%
A	33773	4.7%
Other values (14)	157851	21.9%

Common

Value	Count	Frequency (%)
	29582	99.4%
-	179	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	750694	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	93265	12.4%
o	82656	11.0%
r	77180	10.3%
t	69793	9.3%
e	54101	7.2%
a	42850	5.7%
i	40924	5.5%
d	34463	4.6%
p	34077	4.5%
A	33773	4.5%
Other values (16)	187612	25.0%

sex_upon_outcome
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	622.6 KiB

Neutered Male	28293
Spayed Female	25549
Intact Male	9732
Intact Female	9308
Unknown	6789

Length

Max length	13
Median length	13
Mean length	12.24441767
Min length	7

Characters and Unicode

Total characters	975525
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutered Male
2nd row	Neutered Male
3rd row	Neutered Male
4th row	Neutered Male
5th row	Neutered Male

Common Values

Value	Count	Frequency (%)
Neutered Male	28293	35.5%
Spayed Female	25549	32.1%
Intact Male	9732	12.2%
Intact Female	9308	11.7%
Unknown	6789	8.5%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
male	38025	24.9%
female	34857	22.8%
neutered	28293	18.5%
spayed	25549	16.7%
intact	19040	12.5%
unknown	6789	4.5%

Most occurring characters

Value	Count	Frequency (%)
e	218167	22.4%
a	117471	12.0%
	72882	7.5%
l	72882	7.5%
t	66373	6.8%
d	53842	5.5%
n	39407	4.0%
M	38025	3.9%
F	34857	3.6%
m	34857	3.6%
Other values (12)	226762	23.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	750090	76.9%
Uppercase Letter	152553	15.6%
Space Separator	72882	7.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	218167	29.1%
a	117471	15.7%
l	72882	9.7%
t	66373	8.8%
d	53842	7.2%
n	39407	5.3%
m	34857	4.6%
u	28293	3.8%
r	28293	3.8%
p	25549	3.4%
Other values (5)	64956	8.7%

Uppercase Letter

Value	Count	Frequency (%)
M	38025	24.9%
F	34857	22.8%
N	28293	18.5%
S	25549	16.7%
I	19040	12.5%
U	6789	4.5%

Space Separator

Value	Count	Frequency (%)
	72882	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	902643	92.5%
Common	72882	7.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	218167	24.2%
a	117471	13.0%
l	72882	8.1%
t	66373	7.4%
d	53842	6.0%
n	39407	4.4%
M	38025	4.2%
F	34857	3.9%
m	34857	3.9%
N	28293	3.1%
Other values (11)	198469	22.0%

Common

Value	Count	Frequency (%)
	72882	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	975525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	218167	22.4%
a	117471	12.0%
	72882	7.5%
l	72882	7.5%
t	66373	6.8%
d	53842	5.5%
n	39407	4.0%
M	38025	3.9%
F	34857	3.6%
m	34857	3.6%
Other values (12)	226762	23.2%

age_upon_outcome_(days)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	782.0461266

Minimum	0
Maximum	9125
Zeros	94
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	0
5-th percentile	21
Q1	90
median	365
Q3	1095
95-th percentile	3285
Maximum	9125
Range	9125
Interquartile range (IQR)	1005

Descriptive statistics

Standard deviation	1058.528519
Coefficient of variation (CV)	1.353537193
Kurtosis	5.350416112
Mean	782.0461266
Median Absolute Deviation (MAD)	335
Skewness	2.236984788
Sum	62307179
Variance	1120482.625
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
365	14750	18.5%
730	11542	14.5%
60	9246	11.6%
1095	5277	6.6%
90	3401	4.3%
30	3396	4.3%
1460	3044	3.8%
1825	2747	3.4%
120	2417	3.0%
150	1955	2.5%
Other values (35)	21897	27.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	94	0.1%
1	157	0.2%
2	226	0.3%
3	238	0.3%
4	136	0.2%
5	116	0.1%
6	152	0.2%
7	953	1.2%
14	1340	1.7%
21	1474	1.9%

Value	Count	Frequency (%)
9125	1	< 0.1%
8030	4	< 0.1%
7300	13	< 0.1%
6935	13	< 0.1%
6570	28	< 0.1%
6205	59	0.1%
5840	107	0.1%
5475	214	0.3%
5110	255	0.3%
4745	399	0.5%

age_upon_outcome_(years)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.142592128

Minimum	0
Maximum	25
Zeros	94
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.05753424658
Q1	0.2465753425
median	1
Q3	3
95-th percentile	9
Maximum	25
Range	25
Interquartile range (IQR)	2.753424658

Descriptive statistics

Standard deviation	2.900078134
Coefficient of variation (CV)	1.353537193
Kurtosis	5.350416112
Mean	2.142592128
Median Absolute Deviation (MAD)	0.9178082192
Skewness	2.236984788
Sum	170704.6
Variance	8.410453181
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
1	14750	18.5%
2	11542	14.5%
0.1643835616	9246	11.6%
3	5277	6.6%
0.2465753425	3401	4.3%
0.08219178082	3396	4.3%
4	3044	3.8%
5	2747	3.4%
0.3287671233	2417	3.0%
0.4109589041	1955	2.5%
Other values (35)	21897	27.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	94	0.1%
0.002739726027	157	0.2%
0.005479452055	226	0.3%
0.008219178082	238	0.3%
0.01095890411	136	0.2%
0.01369863014	116	0.1%
0.01643835616	152	0.2%
0.01917808219	953	1.2%
0.03835616438	1340	1.7%
0.05753424658	1474	1.9%

Value	Count	Frequency (%)
25	1	< 0.1%
22	4	< 0.1%
20	13	< 0.1%
19	13	< 0.1%
18	28	< 0.1%
17	59	0.1%
16	107	0.1%
15	214	0.3%
14	255	0.3%
13	399	0.5%

age_upon_outcome_age_group
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

(-0.025, 2.5]	59412
(2.5, 5.0]	11068
(7.5, 10.0]	3619
(5.0, 7.5]	3423
(10.0, 12.5]	1057
Other values (5)	1093

Length

Max length	13
Median length	13
Mean length	12.33651722
Min length	10

Characters and Unicode

Total characters	982875
Distinct characters	11
Distinct categories	6 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	(7.5, 10.0]
2nd row	(5.0, 7.5]
3rd row	(5.0, 7.5]
4th row	(7.5, 10.0]
5th row	(15.0, 17.5]

Common Values

Value	Count	Frequency (%)
(-0.025, 2.5]	59412	74.6%
(2.5, 5.0]	11068	13.9%
(7.5, 10.0]	3619	4.5%
(5.0, 7.5]	3423	4.3%
(10.0, 12.5]	1057	1.3%
(12.5, 15.0]	868	1.1%
(15.0, 17.5]	166	0.2%
(17.5, 20.0]	54	0.1%
(20.0, 22.5]	4	< 0.1%
(22.5, 25.0]	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.5	70480	44.2%
0.025	59412	37.3%
5.0	14491	9.1%
7.5	7042	4.4%
10.0	4676	2.9%
12.5	1925	1.2%
15.0	1034	0.6%
17.5	220	0.1%
20.0	58	< 0.1%
22.5	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	159344	16.2%
5	154610	15.7%
0	143818	14.6%
2	131886	13.4%
(	79672	8.1%
,	79672	8.1%
	79672	8.1%
]	79672	8.1%
-	59412	6.0%
1	7855	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	445431	45.3%
Other Punctuation	239016	24.3%
Open Punctuation	79672	8.1%
Space Separator	79672	8.1%
Close Punctuation	79672	8.1%
Dash Punctuation	59412	6.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	154610	34.7%
0	143818	32.3%
2	131886	29.6%
1	7855	1.8%
7	7262	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	159344	66.7%
,	79672	33.3%

Open Punctuation

Value	Count	Frequency (%)
(	79672	100.0%

Space Separator

Value	Count	Frequency (%)
	79672	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	79672	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	59412	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	982875	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	159344	16.2%
5	154610	15.7%
0	143818	14.6%
2	131886	13.4%
(	79672	8.1%
,	79672	8.1%
	79672	8.1%
]	79672	8.1%
-	59412	6.0%
1	7855	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	982875	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	159344	16.2%
5	154610	15.7%
0	143818	14.6%
2	131886	13.4%
(	79672	8.1%
,	79672	8.1%
	79672	8.1%
]	79672	8.1%
-	59412	6.0%
1	7855	0.8%

outcome_datetime
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	65686
Distinct (%)	82.4%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

2016-04-18 00:00:00	39
2017-10-17 00:00:00	25
2015-08-11 00:00:00	25
2015-07-02 00:00:00	22
2015-11-17 00:00:00	21
Other values (65681)	79540

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	1513768
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57138 ?
Unique (%)	71.7%

Sample

1st row	2017-12-07 14:07:00
2nd row	2014-12-20 16:35:00
3rd row	2014-03-08 17:10:00
4th row	2014-04-07 15:12:00
5th row	2013-11-16 11:54:00

Common Values

Value	Count	Frequency (%)
2016-04-18 00:00:00	39	< 0.1%
2017-10-17 00:00:00	25	< 0.1%
2015-08-11 00:00:00	25	< 0.1%
2015-07-02 00:00:00	22	< 0.1%
2015-11-17 00:00:00	21	< 0.1%
2014-10-20 09:00:00	16	< 0.1%
2016-08-17 00:00:00	16	< 0.1%
2016-10-29 09:00:00	15	< 0.1%
2017-07-03 15:05:00	15	< 0.1%
2017-08-16 00:00:00	15	< 0.1%
Other values (65676)	79463	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
09:00:00	2095	1.3%
00:00:00	1813	1.1%
17:17:00	248	0.2%
17:26:00	241	0.2%
17:34:00	236	0.1%
17:00:00	235	0.1%
17:16:00	233	0.1%
17:25:00	232	0.1%
17:42:00	229	0.1%
18:00:00	226	0.1%
Other values (2684)	153556	96.4%

Most occurring characters

Value	Count	Frequency (%)
0	375695	24.8%
1	246918	16.3%
-	159344	10.5%
:	159344	10.5%
2	154390	10.2%
	79672	5.3%
5	60265	4.0%
4	59179	3.9%
7	53258	3.5%
3	49499	3.3%
Other values (3)	116204	7.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1115408	73.7%
Dash Punctuation	159344	10.5%
Other Punctuation	159344	10.5%
Space Separator	79672	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	375695	33.7%
1	246918	22.1%
2	154390	13.8%
5	60265	5.4%
4	59179	5.3%
7	53258	4.8%
3	49499	4.4%
6	48257	4.3%
8	38367	3.4%
9	29580	2.7%

Dash Punctuation

Value	Count	Frequency (%)
-	159344	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	159344	100.0%

Space Separator

Value	Count	Frequency (%)
	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1513768	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	375695	24.8%
1	246918	16.3%
-	159344	10.5%
:	159344	10.5%
2	154390	10.2%
	79672	5.3%
5	60265	4.0%
4	59179	3.9%
7	53258	3.5%
3	49499	3.3%
Other values (3)	116204	7.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1513768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	375695	24.8%
1	246918	16.3%
-	159344	10.5%
:	159344	10.5%
2	154390	10.2%
	79672	5.3%
5	60265	4.0%
4	59179	3.9%
7	53258	3.5%
3	49499	3.3%
Other values (3)	116204	7.7%

outcome_month
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.655424741

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.414283669
Coefficient of variation (CV)	0.5130076294
Kurtosis	-1.175114625
Mean	6.655424741
Median Absolute Deviation (MAD)	3
Skewness	-0.06277291447
Sum	530251
Variance	11.65733297
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
7	7424	9.3%
10	7219	9.1%
6	7009	8.8%
12	6845	8.6%
8	6840	8.6%
11	6837	8.6%
5	6830	8.6%
3	6743	8.5%
9	6421	8.1%
1	6250	7.8%
Other values (2)	11254	14.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6250	7.8%
2	5731	7.2%
3	6743	8.5%
4	5523	6.9%
5	6830	8.6%
6	7009	8.8%
7	7424	9.3%
8	6840	8.6%
9	6421	8.1%
10	7219	9.1%

Value	Count	Frequency (%)
12	6845	8.6%
11	6837	8.6%
10	7219	9.1%
9	6421	8.1%
8	6840	8.6%
7	7424	9.3%
6	7009	8.8%
5	6830	8.6%
4	5523	6.9%
3	6743	8.5%

outcome_year
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2015.472563

Minimum	2013
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	2013
5-th percentile	2014
Q1	2014
median	2015
Q3	2017
95-th percentile	2017
Maximum	2018
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.305943756
Coefficient of variation (CV)	0.0006479590844
Kurtosis	-0.9754904079
Mean	2015.472563
Median Absolute Deviation (MAD)	1
Skewness	0.03142165369
Sum	160576730
Variance	1.705489094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2014	18584	23.3%
2015	18505	23.2%
2016	17667	22.2%
2017	17661	22.2%
2013	3704	4.6%
2018	3551	4.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2013	3704	4.6%
2014	18584	23.3%
2015	18505	23.2%
2016	17667	22.2%
2017	17661	22.2%
2018	3551	4.5%

Value	Count	Frequency (%)
2018	3551	4.5%
2017	17661	22.2%
2016	17667	22.2%
2015	18505	23.2%
2014	18584	23.3%
2013	3704	4.6%

outcome_monthyear
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	55
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

2014-07	2072
2015-06	1975
2015-07	1900
2015-05	1876
2014-08	1851
Other values (50)	69998

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	557704
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2017-12
2nd row	2014-12
3rd row	2014-03
4th row	2014-04
5th row	2013-11

Common Values

Value	Count	Frequency (%)
2014-07	2072	2.6%
2015-06	1975	2.5%
2015-07	1900	2.4%
2015-05	1876	2.4%
2014-08	1851	2.3%
2017-07	1774	2.2%
2014-06	1753	2.2%
2015-08	1735	2.2%
2017-08	1718	2.2%
2016-05	1693	2.1%
Other values (45)	61325	77.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2014-07	2072	2.6%
2015-06	1975	2.5%
2015-07	1900	2.4%
2015-05	1876	2.4%
2014-08	1851	2.3%
2017-07	1774	2.2%
2014-06	1753	2.2%
2015-08	1735	2.2%
2017-08	1718	2.2%
2016-05	1693	2.1%
Other values (45)	61325	77.0%

Most occurring characters

Value	Count	Frequency (%)
0	145662	26.1%
1	113660	20.4%
2	92248	16.5%
-	79672	14.3%
5	25335	4.5%
7	25085	4.5%
6	24676	4.4%
4	24107	4.3%
3	10447	1.9%
8	10391	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	478032	85.7%
Dash Punctuation	79672	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	145662	30.5%
1	113660	23.8%
2	92248	19.3%
5	25335	5.3%
7	25085	5.2%
6	24676	5.2%
4	24107	5.0%
3	10447	2.2%
8	10391	2.2%
9	6421	1.3%

Dash Punctuation

Value	Count	Frequency (%)
-	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	557704	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	145662	26.1%
1	113660	20.4%
2	92248	16.5%
-	79672	14.3%
5	25335	4.5%
7	25085	4.5%
6	24676	4.4%
4	24107	4.3%
3	10447	1.9%
8	10391	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	557704	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	145662	26.1%
1	113660	20.4%
2	92248	16.5%
-	79672	14.3%
5	25335	4.5%
7	25085	4.5%
6	24676	4.4%
4	24107	4.3%
3	10447	1.9%
8	10391	1.9%

outcome_weekday
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

Saturday	12848
Sunday	12310
Tuesday	11688
Monday	11429
Friday	10735
Other values (2)	20662

Length

Max length	9
Median length	8
Mean length	7.119012953
Min length	6

Characters and Unicode

Total characters	567186
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Thursday
2nd row	Saturday
3rd row	Saturday
4th row	Monday
5th row	Saturday

Common Values

Value	Count	Frequency (%)
Saturday	12848	16.1%
Sunday	12310	15.5%
Tuesday	11688	14.7%
Monday	11429	14.3%
Friday	10735	13.5%
Wednesday	10446	13.1%
Thursday	10216	12.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
saturday	12848	16.1%
sunday	12310	15.5%
tuesday	11688	14.7%
monday	11429	14.3%
friday	10735	13.5%
wednesday	10446	13.1%
thursday	10216	12.8%

Most occurring characters

Value	Count	Frequency (%)
a	92520	16.3%
d	90118	15.9%
y	79672	14.0%
u	47062	8.3%
n	34185	6.0%
r	33799	6.0%
e	32580	5.7%
s	32350	5.7%
S	25158	4.4%
T	21904	3.9%
Other values (7)	77838	13.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	487514	86.0%
Uppercase Letter	79672	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	92520	19.0%
d	90118	18.5%
y	79672	16.3%
u	47062	9.7%
n	34185	7.0%
r	33799	6.9%
e	32580	6.7%
s	32350	6.6%
t	12848	2.6%
o	11429	2.3%
Other values (2)	20951	4.3%

Uppercase Letter

Value	Count	Frequency (%)
S	25158	31.6%
T	21904	27.5%
M	11429	14.3%
F	10735	13.5%
W	10446	13.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	567186	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	92520	16.3%
d	90118	15.9%
y	79672	14.0%
u	47062	8.3%
n	34185	6.0%
r	33799	6.0%
e	32580	5.7%
s	32350	5.7%
S	25158	4.4%
T	21904	3.9%
Other values (7)	77838	13.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	567186	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	92520	16.3%
d	90118	15.9%
y	79672	14.0%
u	47062	8.3%
n	34185	6.0%
r	33799	6.0%
e	32580	5.7%
s	32350	5.7%
S	25158	4.4%
T	21904	3.9%
Other values (7)	77838	13.7%

outcome_hour
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.29730646

Minimum	0
Maximum	23
Zeros	2044
Zeros (%)	2.6%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	0
5-th percentile	8
Q1	12
median	15
Q3	17
95-th percentile	19
Maximum	23
Range	23
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.774316927
Coefficient of variation (CV)	0.2639879713
Kurtosis	3.220603154
Mean	14.29730646
Median Absolute Deviation (MAD)	2
Skewness	-1.432193503
Sum	1139095
Variance	14.24546826
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
17	12190	15.3%
18	11000	13.8%
16	8107	10.2%
14	7514	9.4%
15	7477	9.4%
12	6961	8.7%
13	6900	8.7%
11	5735	7.2%
19	3830	4.8%
9	3713	4.7%
Other values (14)	6245	7.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2044	2.6%
1	14	< 0.1%
2	5	< 0.1%
3	4	< 0.1%
4	6	< 0.1%
5	17	< 0.1%
6	61	0.1%
7	420	0.5%
8	1469	1.8%
9	3713	4.7%

Value	Count	Frequency (%)
23	49	0.1%
22	188	0.2%
21	192	0.2%
20	204	0.3%
19	3830	4.8%
18	11000	13.8%
17	12190	15.3%
16	8107	10.2%
15	7477	9.4%
14	7514	9.4%

outcome_number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.126819962

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	13
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4560570024
Coefficient of variation (CV)	0.4047292539
Kurtosis	57.63880095
Mean	1.126819962
Median Absolute Deviation (MAD)	0
Skewness	5.785008652
Sum	89776
Variance	0.2079879894
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	71993	90.4%
2	6052	7.6%
3	1152	1.4%
4	302	0.4%
5	101	0.1%
6	39	< 0.1%
7	15	< 0.1%
8	7	< 0.1%
10	3	< 0.1%
11	3	< 0.1%
Other values (3)	5	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	71993	90.4%
2	6052	7.6%
3	1152	1.4%
4	302	0.4%
5	101	0.1%
6	39	< 0.1%
7	15	< 0.1%
8	7	< 0.1%
9	3	< 0.1%
10	3	< 0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
12	1	< 0.1%
11	3	< 0.1%
10	3	< 0.1%
9	3	< 0.1%
8	7	< 0.1%
7	15	< 0.1%
6	39	< 0.1%
5	101	0.1%
4	302	0.4%

dob_year
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	28
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2013.25487

Minimum	1991
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	1991
5-th percentile	2006
Q1	2012
median	2014
Q3	2015
95-th percentile	2017
Maximum	2018
Range	27
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.216516823
Coefficient of variation (CV)	0.001597669958
Kurtosis	3.447590339
Mean	2013.25487
Median Absolute Deviation (MAD)	2
Skewness	-1.665329393
Sum	160400042
Variance	10.34598048
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
2015	14358	18.0%
2014	14334	18.0%
2013	11001	13.8%
2016	10968	13.8%
2017	6989	8.8%
2012	6209	7.8%
2011	3938	4.9%
2010	2547	3.2%
2009	2082	2.6%
2008	1602	2.0%
Other values (18)	5644	7.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1991	1	< 0.1%
1992	1	< 0.1%
1993	1	< 0.1%
1994	9	< 0.1%
1995	7	< 0.1%
1996	11	< 0.1%
1997	26	< 0.1%
1998	62	0.1%
1999	109	0.1%
2000	199	0.2%

Value	Count	Frequency (%)
2018	164	0.2%
2017	6989	8.8%
2016	10968	13.8%
2015	14358	18.0%
2014	14334	18.0%
2013	11001	13.8%
2012	6209	7.8%
2011	3938	4.9%
2010	2547	3.2%
2009	2082	2.6%

dob_month
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.31030977

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.28907727
Coefficient of variation (CV)	0.521222791
Kurtosis	-1.116180732
Mean	6.31030977
Median Absolute Deviation (MAD)	3
Skewness	0.1294755104
Sum	502755
Variance	10.81802929
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
4	9138	11.5%
5	8138	10.2%
3	7850	9.9%
6	6760	8.5%
8	6569	8.2%
7	6459	8.1%
10	6426	8.1%
9	6358	8.0%
1	5587	7.0%
12	5578	7.0%
Other values (2)	10809	13.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5587	7.0%
2	5474	6.9%
3	7850	9.9%
4	9138	11.5%
5	8138	10.2%
6	6760	8.5%
7	6459	8.1%
8	6569	8.2%
9	6358	8.0%
10	6426	8.1%

Value	Count	Frequency (%)
12	5578	7.0%
11	5335	6.7%
10	6426	8.1%
9	6358	8.0%
8	6569	8.2%
7	6459	8.1%
6	6760	8.5%
5	8138	10.2%
4	9138	11.5%
3	7850	9.9%

dob_monthyear
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	55
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

2014-07	2072
2015-06	1975
2015-07	1900
2015-05	1876
2014-08	1851
Other values (50)	69998

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	557704
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2017-12
2nd row	2014-12
3rd row	2014-03
4th row	2014-04
5th row	2013-11

Common Values

Value	Count	Frequency (%)
2014-07	2072	2.6%
2015-06	1975	2.5%
2015-07	1900	2.4%
2015-05	1876	2.4%
2014-08	1851	2.3%
2017-07	1774	2.2%
2014-06	1753	2.2%
2015-08	1735	2.2%
2017-08	1718	2.2%
2016-05	1693	2.1%
Other values (45)	61325	77.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2014-07	2072	2.6%
2015-06	1975	2.5%
2015-07	1900	2.4%
2015-05	1876	2.4%
2014-08	1851	2.3%
2017-07	1774	2.2%
2014-06	1753	2.2%
2015-08	1735	2.2%
2017-08	1718	2.2%
2016-05	1693	2.1%
Other values (45)	61325	77.0%

Most occurring characters

Value	Count	Frequency (%)
0	145662	26.1%
1	113660	20.4%
2	92248	16.5%
-	79672	14.3%
5	25335	4.5%
7	25085	4.5%
6	24676	4.4%
4	24107	4.3%
3	10447	1.9%
8	10391	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	478032	85.7%
Dash Punctuation	79672	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	145662	30.5%
1	113660	23.8%
2	92248	19.3%
5	25335	5.3%
7	25085	5.2%
6	24676	5.2%
4	24107	5.0%
3	10447	2.2%
8	10391	2.2%
9	6421	1.3%

Dash Punctuation

Value	Count	Frequency (%)
-	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	557704	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	145662	26.1%
1	113660	20.4%
2	92248	16.5%
-	79672	14.3%
5	25335	4.5%
7	25085	4.5%
6	24676	4.4%
4	24107	4.3%
3	10447	1.9%
8	10391	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	557704	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	145662	26.1%
1	113660	20.4%
2	92248	16.5%
-	79672	14.3%
5	25335	4.5%
7	25085	4.5%
6	24676	4.4%
4	24107	4.3%
3	10447	1.9%
8	10391	1.9%

age_upon_intake
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	46
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

1 year	14580
2 years	11529
1 month	7458
3 years	5206
2 months	4023
Other values (41)	36876

Length

Max length	9
Median length	7
Mean length	7.043490812
Min length	5

Characters and Unicode

Total characters	561169
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	10 years
2nd row	7 years
3rd row	6 years
4th row	10 years
5th row	16 years

Common Values

Value	Count	Frequency (%)
1 year	14580	18.3%
2 years	11529	14.5%
1 month	7458	9.4%
3 years	5206	6.5%
2 months	4023	5.0%
4 years	3071	3.9%
4 weeks	2819	3.5%
5 years	2736	3.4%
3 weeks	2276	2.9%
4 months	2047	2.6%
Other values (36)	23927	30.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
years	32058	20.1%
1	23577	14.8%
2	17419	10.9%
months	16026	10.1%
year	14580	9.2%
3	9765	6.1%
4	8123	5.1%
month	7458	4.7%
weeks	7418	4.7%
5	5067	3.2%
Other values (21)	17853	11.2%

Most occurring characters

Value	Count	Frequency (%)
	79672	14.2%
e	62810	11.2%
s	56621	10.1%
y	48102	8.6%
a	48102	8.6%
r	46638	8.3%
1	29028	5.2%
n	23484	4.2%
t	23484	4.2%
h	23484	4.2%
Other values (14)	119744	21.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	397329	70.8%
Decimal Number	84168	15.0%
Space Separator	79672	14.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	62810	15.8%
s	56621	14.3%
y	48102	12.1%
a	48102	12.1%
r	46638	11.7%
n	23484	5.9%
t	23484	5.9%
h	23484	5.9%
o	23484	5.9%
m	23484	5.9%
Other values (3)	17636	4.4%

Decimal Number

Value	Count	Frequency (%)
1	29028	34.5%
2	18032	21.4%
3	10144	12.1%
4	8372	9.9%
5	5282	6.3%
6	3682	4.4%
7	2784	3.3%
8	2445	2.9%
0	2330	2.8%
9	2069	2.5%

Space Separator

Value	Count	Frequency (%)
	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	397329	70.8%
Common	163840	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	62810	15.8%
s	56621	14.3%
y	48102	12.1%
a	48102	12.1%
r	46638	11.7%
n	23484	5.9%
t	23484	5.9%
h	23484	5.9%
o	23484	5.9%
m	23484	5.9%
Other values (3)	17636	4.4%

Common

Value	Count	Frequency (%)
	79672	48.6%
1	29028	17.7%
2	18032	11.0%
3	10144	6.2%
4	8372	5.1%
5	5282	3.2%
6	3682	2.2%
7	2784	1.7%
8	2445	1.5%
0	2330	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	561169	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	79672	14.2%
e	62810	11.2%
s	56621	10.1%
y	48102	8.6%
a	48102	8.6%
r	46638	8.3%
1	29028	5.2%
n	23484	4.2%
t	23484	4.2%
h	23484	4.2%
Other values (14)	119744	21.3%

animal_id_intake
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	71961
Distinct (%)	90.3%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

A721033	13
A718223	11
A706536	11
A694501	8
A716018	8
Other values (71956)	79621

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	557704
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	65890 ?
Unique (%)	82.7%

Sample

1st row	A006100
2nd row	A006100
3rd row	A006100
4th row	A047759
5th row	A134067

Common Values

Value	Count	Frequency (%)
A721033	13	< 0.1%
A718223	11	< 0.1%
A706536	11	< 0.1%
A694501	8	< 0.1%
A716018	8	< 0.1%
A738324	8	< 0.1%
A616444	8	< 0.1%
A735601	7	< 0.1%
A678294	7	< 0.1%
A593537	7	< 0.1%
Other values (71951)	79584	99.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a721033	13	< 0.1%
a706536	11	< 0.1%
a718223	11	< 0.1%
a694501	8	< 0.1%
a716018	8	< 0.1%
a738324	8	< 0.1%
a616444	8	< 0.1%
a738073	7	< 0.1%
a683108	7	< 0.1%
a701901	7	< 0.1%
Other values (71951)	79584	99.9%

Most occurring characters

Value	Count	Frequency (%)
7	88898	15.9%
A	79672	14.3%
6	70578	12.7%
5	41173	7.4%
3	40062	7.2%
8	39800	7.1%
0	39734	7.1%
1	39721	7.1%
4	39721	7.1%
2	39392	7.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	478032	85.7%
Uppercase Letter	79672	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	88898	18.6%
6	70578	14.8%
5	41173	8.6%
3	40062	8.4%
8	39800	8.3%
0	39734	8.3%
1	39721	8.3%
4	39721	8.3%
2	39392	8.2%
9	38953	8.1%

Uppercase Letter

Value	Count	Frequency (%)
A	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	478032	85.7%
Latin	79672	14.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
7	88898	18.6%
6	70578	14.8%
5	41173	8.6%
3	40062	8.4%
8	39800	8.3%
0	39734	8.3%
1	39721	8.3%
4	39721	8.3%
2	39392	8.2%
9	38953	8.1%

Latin

Value	Count	Frequency (%)
A	79672	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	557704	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	88898	15.9%
A	79672	14.3%
6	70578	12.7%
5	41173	7.4%
3	40062	7.2%
8	39800	7.1%
0	39734	7.1%
1	39721	7.1%
4	39721	7.1%
2	39392	7.1%

animal_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

Dog	45366
Cat	29539
Other	4428
Bird	339

Length

Max length	5
Median length	3
Mean length	3.115410684
Min length	3

Characters and Unicode

Total characters	248211
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dog
2nd row	Dog
3rd row	Dog
4th row	Dog
5th row	Dog

Common Values

Value	Count	Frequency (%)
Dog	45366	56.9%
Cat	29539	37.1%
Other	4428	5.6%
Bird	339	0.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
dog	45366	56.9%
cat	29539	37.1%
other	4428	5.6%
bird	339	0.4%

Most occurring characters

Value	Count	Frequency (%)
D	45366	18.3%
o	45366	18.3%
g	45366	18.3%
t	33967	13.7%
C	29539	11.9%
a	29539	11.9%
r	4767	1.9%
O	4428	1.8%
h	4428	1.8%
e	4428	1.8%
Other values (3)	1017	0.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	168539	67.9%
Uppercase Letter	79672	32.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	45366	26.9%
g	45366	26.9%
t	33967	20.2%
a	29539	17.5%
r	4767	2.8%
h	4428	2.6%
e	4428	2.6%
i	339	0.2%
d	339	0.2%

Uppercase Letter

Value	Count	Frequency (%)
D	45366	56.9%
C	29539	37.1%
O	4428	5.6%
B	339	0.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	248211	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
D	45366	18.3%
o	45366	18.3%
g	45366	18.3%
t	33967	13.7%
C	29539	11.9%
a	29539	11.9%
r	4767	1.9%
O	4428	1.8%
h	4428	1.8%
e	4428	1.8%
Other values (3)	1017	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	248211	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
D	45366	18.3%
o	45366	18.3%
g	45366	18.3%
t	33967	13.7%
C	29539	11.9%
a	29539	11.9%
r	4767	1.9%
O	4428	1.8%
h	4428	1.8%
e	4428	1.8%
Other values (3)	1017	0.4%

breed
Categorical

HIGH CARDINALITY

Distinct	2155
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

Domestic Shorthair Mix	23423
Pit Bull Mix	6256
Chihuahua Shorthair Mix	4831
Labrador Retriever Mix	4789
Domestic Medium Hair Mix	2326
Other values (2150)	38047

Length

Max length	54
Median length	51
Mean length	19.58070589
Min length	3

Characters and Unicode

Total characters	1560034
Distinct characters	55
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	879 ?
Unique (%)	1.1%

Sample

1st row	Spinone Italiano Mix
2nd row	Spinone Italiano Mix
3rd row	Spinone Italiano Mix
4th row	Dachshund
5th row	Shetland Sheepdog

Common Values

Value	Count	Frequency (%)
Domestic Shorthair Mix	23423	29.4%
Pit Bull Mix	6256	7.9%
Chihuahua Shorthair Mix	4831	6.1%
Labrador Retriever Mix	4789	6.0%
Domestic Medium Hair Mix	2326	2.9%
German Shepherd Mix	1950	2.4%
Bat Mix	1381	1.7%
Domestic Longhair Mix	1248	1.6%
Australian Cattle Dog Mix	1099	1.4%
Siamese Mix	996	1.3%
Other values (2145)	31373	39.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
mix	66999	29.5%
shorthair	29746	13.1%
domestic	27579	12.2%
bull	7292	3.2%
pit	7075	3.1%
retriever	6327	2.8%
labrador	6260	2.8%
chihuahua	6172	2.7%
terrier	3846	1.7%
shepherd	3547	1.6%
Other values (1577)	61971	27.3%

Most occurring characters

Value	Count	Frequency (%)
i	181668	11.6%
	147142	9.4%
r	139246	8.9%
e	107112	6.9%
h	105116	6.7%
a	100850	6.5%
t	94007	6.0%
o	90654	5.8%
M	72890	4.7%
x	68591	4.4%
Other values (45)	452758	29.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1171178	75.1%
Uppercase Letter	234234	15.0%
Space Separator	147142	9.4%
Other Punctuation	7440	0.5%
Dash Punctuation	40	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	181668	15.5%
r	139246	11.9%
e	107112	9.1%
h	105116	9.0%
a	100850	8.6%
t	94007	8.0%
o	90654	7.7%
x	68591	5.9%
s	43798	3.7%
u	39015	3.3%
Other values (16)	201121	17.2%

Uppercase Letter

Value	Count	Frequency (%)
M	72890	31.1%
S	40707	17.4%
D	32114	13.7%
B	15857	6.8%
C	14232	6.1%
P	12382	5.3%
R	11524	4.9%
L	9659	4.1%
T	5528	2.4%
A	4965	2.1%
Other values (15)	14376	6.1%

Other Punctuation

Value	Count	Frequency (%)
/	7380	99.2%
.	60	0.8%

Space Separator

Value	Count	Frequency (%)
	147142	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	40	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1405412	90.1%
Common	154622	9.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	181668	12.9%
r	139246	9.9%
e	107112	7.6%
h	105116	7.5%
a	100850	7.2%
t	94007	6.7%
o	90654	6.5%
M	72890	5.2%
x	68591	4.9%
s	43798	3.1%
Other values (41)	401480	28.6%

Common

Value	Count	Frequency (%)
	147142	95.2%
/	7380	4.8%
.	60	< 0.1%
-	40	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1560034	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	181668	11.6%
	147142	9.4%
r	139246	8.9%
e	107112	6.9%
h	105116	6.7%
a	100850	6.5%
t	94007	6.0%
o	90654	5.8%
M	72890	4.7%
x	68591	4.4%
Other values (45)	452758	29.0%

color
Categorical

HIGH CARDINALITY

Distinct	529
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

Black/White	8270
Black	6673
Brown Tabby	4471
Brown	3598
White	2835
Other values (524)	53825

Length

Max length	27
Median length	24
Mean length	9.538796566
Min length	3

Characters and Unicode

Total characters	759975
Distinct characters	38
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	148 ?
Unique (%)	0.2%

Sample

1st row	Yellow/White
2nd row	Yellow/White
3rd row	Yellow/White
4th row	Tricolor
5th row	Brown/White

Common Values

Value	Count	Frequency (%)
Black/White	8270	10.4%
Black	6673	8.4%
Brown Tabby	4471	5.6%
Brown	3598	4.5%
White	2835	3.6%
Brown/White	2516	3.2%
Tan/White	2462	3.1%
Brown Tabby/White	2351	3.0%
Orange Tabby	2182	2.7%
White/Black	2172	2.7%
Other values (519)	42142	52.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
brown	12847	12.9%
tabby	9193	9.3%
black/white	8270	8.3%
black	7351	7.4%
tabby/white	4393	4.4%
blue	3702	3.7%
orange	3370	3.4%
white	2835	2.9%
brown/white	2516	2.5%
tan/white	2462	2.5%
Other values (334)	42361	42.7%

Most occurring characters

Value	Count	Frequency (%)
e	61832	8.1%
a	61137	8.0%
B	57048	7.5%
i	47523	6.3%
l	44680	5.9%
/	41904	5.5%
r	41383	5.4%
n	40277	5.3%
t	39931	5.3%
h	36815	4.8%
Other values (28)	287445	37.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	557239	73.3%
Uppercase Letter	141204	18.6%
Other Punctuation	41904	5.5%
Space Separator	19628	2.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	61832	11.1%
a	61137	11.0%
i	47523	8.5%
l	44680	8.0%
r	41383	7.4%
n	40277	7.2%
t	39931	7.2%
h	36815	6.6%
o	36282	6.5%
c	31209	5.6%
Other values (12)	116170	20.8%

Uppercase Letter

Value	Count	Frequency (%)
B	57048	40.4%
W	35399	25.1%
T	28582	20.2%
C	4742	3.4%
O	3707	2.6%
R	2860	2.0%
G	2553	1.8%
S	1645	1.2%
P	1509	1.1%
Y	804	0.6%
Other values (4)	2355	1.7%

Other Punctuation

Value	Count	Frequency (%)
/	41904	100.0%

Space Separator

Value	Count	Frequency (%)
	19628	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	698443	91.9%
Common	61532	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	61832	8.9%
a	61137	8.8%
B	57048	8.2%
i	47523	6.8%
l	44680	6.4%
r	41383	5.9%
n	40277	5.8%
t	39931	5.7%
h	36815	5.3%
o	36282	5.2%
Other values (26)	231535	33.2%

Common

Value	Count	Frequency (%)
/	41904	68.1%
	19628	31.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	759975	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	61832	8.1%
a	61137	8.0%
B	57048	7.5%
i	47523	6.3%
l	44680	5.9%
/	41904	5.5%
r	41383	5.4%
n	40277	5.3%
t	39931	5.3%
h	36815	4.8%
Other values (28)	287445	37.8%

found_location
Categorical

HIGH CARDINALITY

Distinct	36576
Distinct (%)	45.9%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

Austin (TX)	14311
Outside Jurisdiction	945
Travis (TX)	907
7201 Levander Loop in Austin (TX)	514
Del Valle (TX)	407
Other values (36571)	62588

Length

Max length	85
Median length	69
Mean length	28.85169194
Min length	9

Characters and Unicode

Total characters	2298672
Distinct characters	83
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	27167 ?
Unique (%)	34.1%

Sample

1st row	Colony Creek And Hunters Trace in Austin (TX)
2nd row	8700 Research Blvd in Austin (TX)
3rd row	8700 Research in Austin (TX)
4th row	Austin (TX)
5th row	12034 Research Blvd in Austin (TX)

Common Values

Value	Count	Frequency (%)
Austin (TX)	14311	18.0%
Outside Jurisdiction	945	1.2%
Travis (TX)	907	1.1%
7201 Levander Loop in Austin (TX)	514	0.6%
Del Valle (TX)	407	0.5%
Pflugerville (TX)	370	0.5%
Manor (TX)	268	0.3%
4434 Frontier Trl in Austin (TX)	162	0.2%
124 W Anderson Ln in Austin (TX)	152	0.2%
Leander (TX)	112	0.1%
Other values (36566)	61524	77.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tx	78811	17.7%
austin	66966	15.0%
in	62022	13.9%
dr	10271	2.3%
and	9425	2.1%
rd	6754	1.5%
travis	6293	1.4%
ln	5542	1.2%
st	5407	1.2%
e	3586	0.8%
Other values (13635)	190944	42.8%

Most occurring characters

Value	Count	Frequency (%)
	366837	16.0%
n	190104	8.3%
i	176256	7.7%
t	103953	4.5%
s	103931	4.5%
T	92192	4.0%
u	82957	3.6%
A	82605	3.6%
e	79886	3.5%
X	78759	3.4%
Other values (73)	941192	40.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1148452	50.0%
Uppercase Letter	408748	17.8%
Space Separator	366837	16.0%
Decimal Number	209877	9.1%
Open Punctuation	78755	3.4%
Close Punctuation	78752	3.4%
Other Punctuation	6830	0.3%
Dash Punctuation	411	< 0.1%
Math Symbol	6	< 0.1%
Modifier Symbol	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	190104	16.6%
i	176256	15.3%
t	103953	9.1%
s	103931	9.0%
u	82957	7.2%
e	79886	7.0%
r	75791	6.6%
a	69452	6.0%
l	49601	4.3%
o	47298	4.1%
Other values (16)	169223	14.7%

Uppercase Letter

Value	Count	Frequency (%)
T	92192	22.6%
A	82605	20.2%
X	78759	19.3%
S	17857	4.4%
D	17387	4.3%
L	14440	3.5%
R	14299	3.5%
C	14287	3.5%
B	12502	3.1%
W	8967	2.2%
Other values (16)	55453	13.6%

Other Punctuation

Value	Count	Frequency (%)
&	2997	43.9%
.	1542	22.6%
/	1148	16.8%
#	903	13.2%
,	141	2.1%
'	58	0.8%
@	33	0.5%
?	4	0.1%
\	2	< 0.1%
*	1	< 0.1%

Decimal Number

Value	Count	Frequency (%)
0	45635	21.7%
1	45343	21.6%
2	23082	11.0%
3	17026	8.1%
5	16639	7.9%
4	14594	7.0%
6	12417	5.9%
7	12397	5.9%
8	11834	5.6%
9	10910	5.2%

Open Punctuation

Value	Count	Frequency (%)
(	78748	> 99.9%
{	4	< 0.1%
[	3	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	78746	> 99.9%
}	5	< 0.1%
]	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	366837	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	411	100.0%

Math Symbol

Value	Count	Frequency (%)
+	6	100.0%

Modifier Symbol

Value	Count	Frequency (%)
`	4	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1557200	67.7%
Common	741472	32.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	190104	12.2%
i	176256	11.3%
t	103953	6.7%
s	103931	6.7%
T	92192	5.9%
u	82957	5.3%
A	82605	5.3%
e	79886	5.1%
X	78759	5.1%
r	75791	4.9%
Other values (42)	490766	31.5%

Common

Value	Count	Frequency (%)
	366837	49.5%
(	78748	10.6%
)	78746	10.6%
0	45635	6.2%
1	45343	6.1%
2	23082	3.1%
3	17026	2.3%
5	16639	2.2%
4	14594	2.0%
6	12417	1.7%
Other values (21)	42405	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2298672	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	366837	16.0%
n	190104	8.3%
i	176256	7.7%
t	103953	4.5%
s	103931	4.5%
T	92192	4.0%
u	82957	3.6%
A	82605	3.6%
e	79886	3.5%
X	78759	3.4%
Other values (73)	941192	40.9%

intake_condition
Categorical

HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

Normal	70056
Injured	3997
Sick	3099
Nursing	1915
Aged	319
Other values (3)	286

Length

Max length	8
Median length	6
Mean length	5.986582488
Min length	4

Characters and Unicode

Total characters	476963
Distinct characters	24
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Normal
2nd row	Normal
3rd row	Normal
4th row	Normal
5th row	Injured

Common Values

Value	Count	Frequency (%)
Normal	70056	87.9%
Injured	3997	5.0%
Sick	3099	3.9%
Nursing	1915	2.4%
Aged	319	0.4%
Other	147	0.2%
Feral	92	0.1%
Pregnant	47	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
normal	70056	87.9%
injured	3997	5.0%
sick	3099	3.9%
nursing	1915	2.4%
aged	319	0.4%
other	147	0.2%
feral	92	0.1%
pregnant	47	0.1%

Most occurring characters

Value	Count	Frequency (%)
r	76254	16.0%
N	71971	15.1%
a	70195	14.7%
l	70148	14.7%
m	70056	14.7%
o	70056	14.7%
n	6006	1.3%
u	5912	1.2%
i	5014	1.1%
e	4602	1.0%
Other values (14)	26749	5.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	397291	83.3%
Uppercase Letter	79672	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	76254	19.2%
a	70195	17.7%
l	70148	17.7%
m	70056	17.6%
o	70056	17.6%
n	6006	1.5%
u	5912	1.5%
i	5014	1.3%
e	4602	1.2%
d	4316	1.1%
Other values (7)	14732	3.7%

Uppercase Letter

Value	Count	Frequency (%)
N	71971	90.3%
I	3997	5.0%
S	3099	3.9%
A	319	0.4%
O	147	0.2%
F	92	0.1%
P	47	0.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	476963	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	76254	16.0%
N	71971	15.1%
a	70195	14.7%
l	70148	14.7%
m	70056	14.7%
o	70056	14.7%
n	6006	1.3%
u	5912	1.2%
i	5014	1.1%
e	4602	1.0%
Other values (14)	26749	5.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	476963	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	76254	16.0%
N	71971	15.1%
a	70195	14.7%
l	70148	14.7%
m	70056	14.7%
o	70056	14.7%
n	6006	1.3%
u	5912	1.2%
i	5014	1.1%
e	4602	1.0%
Other values (14)	26749	5.6%

intake_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

Stray	55935
Owner Surrender	15028
Public Assist	4994
Wildlife	3464
Euthanasia Request	251

Length

Max length	18
Median length	5
Mean length	7.559079727
Min length	5

Characters and Unicode

Total characters	602247
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Stray
2nd row	Public Assist
3rd row	Public Assist
4th row	Owner Surrender
5th row	Public Assist

Common Values

Value	Count	Frequency (%)
Stray	55935	70.2%
Owner Surrender	15028	18.9%
Public Assist	4994	6.3%
Wildlife	3464	4.3%
Euthanasia Request	251	0.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
stray	55935	56.0%
owner	15028	15.0%
surrender	15028	15.0%
public	4994	5.0%
assist	4994	5.0%
wildlife	3464	3.5%
euthanasia	251	0.3%
request	251	0.3%

Most occurring characters

Value	Count	Frequency (%)
r	116047	19.3%
S	70963	11.8%
t	61431	10.2%
a	56688	9.4%
y	55935	9.3%
e	49050	8.1%
n	30307	5.0%
u	20524	3.4%
	20273	3.4%
d	18492	3.1%
Other values (15)	102537	17.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	482029	80.0%
Uppercase Letter	99945	16.6%
Space Separator	20273	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	116047	24.1%
t	61431	12.7%
a	56688	11.8%
y	55935	11.6%
e	49050	10.2%
n	30307	6.3%
u	20524	4.3%
d	18492	3.8%
i	17167	3.6%
s	15484	3.2%
Other values (7)	40904	8.5%

Uppercase Letter

Value	Count	Frequency (%)
S	70963	71.0%
O	15028	15.0%
A	4994	5.0%
P	4994	5.0%
W	3464	3.5%
E	251	0.3%
R	251	0.3%

Space Separator

Value	Count	Frequency (%)
	20273	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	581974	96.6%
Common	20273	3.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	116047	19.9%
S	70963	12.2%
t	61431	10.6%
a	56688	9.7%
y	55935	9.6%
e	49050	8.4%
n	30307	5.2%
u	20524	3.5%
d	18492	3.2%
i	17167	2.9%
Other values (14)	85370	14.7%

Common

Value	Count	Frequency (%)
	20273	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	602247	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	116047	19.3%
S	70963	11.8%
t	61431	10.2%
a	56688	9.4%
y	55935	9.3%
e	49050	8.1%
n	30307	5.0%
u	20524	3.4%
	20273	3.4%
d	18492	3.1%
Other values (15)	102537	17.0%

sex_upon_intake
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	622.6 KiB

Intact Male	25317
Intact Female	23704
Neutered Male	12708
Spayed Female	11153
Unknown	6789

Length

Max length	13
Median length	13
Mean length	11.85318372
Min length	7

Characters and Unicode

Total characters	944355
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Neutered Male
2nd row	Neutered Male
3rd row	Neutered Male
4th row	Neutered Male
5th row	Neutered Male

Common Values

Value	Count	Frequency (%)
Intact Male	25317	31.8%
Intact Female	23704	29.8%
Neutered Male	12708	16.0%
Spayed Female	11153	14.0%
Unknown	6789	8.5%
(Missing)	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
intact	49021	32.1%
male	38025	24.9%
female	34857	22.8%
neutered	12708	8.3%
spayed	11153	7.3%
unknown	6789	4.5%

Most occurring characters

Value	Count	Frequency (%)
e	157016	16.6%
a	133056	14.1%
t	110750	11.7%
	72882	7.7%
l	72882	7.7%
n	69388	7.3%
I	49021	5.2%
c	49021	5.2%
M	38025	4.0%
F	34857	3.7%
Other values (12)	157457	16.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	718920	76.1%
Uppercase Letter	152553	16.2%
Space Separator	72882	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	157016	21.8%
a	133056	18.5%
t	110750	15.4%
l	72882	10.1%
n	69388	9.7%
c	49021	6.8%
m	34857	4.8%
d	23861	3.3%
r	12708	1.8%
u	12708	1.8%
Other values (5)	42673	5.9%

Uppercase Letter

Value	Count	Frequency (%)
I	49021	32.1%
M	38025	24.9%
F	34857	22.8%
N	12708	8.3%
S	11153	7.3%
U	6789	4.5%

Space Separator

Value	Count	Frequency (%)
	72882	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	871473	92.3%
Common	72882	7.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	157016	18.0%
a	133056	15.3%
t	110750	12.7%
l	72882	8.4%
n	69388	8.0%
I	49021	5.6%
c	49021	5.6%
M	38025	4.4%
F	34857	4.0%
m	34857	4.0%
Other values (11)	122600	14.1%

Common

Value	Count	Frequency (%)
	72882	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	944355	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	157016	16.6%
a	133056	14.1%
t	110750	11.7%
	72882	7.7%
l	72882	7.7%
n	69388	7.3%
I	49021	5.2%
c	49021	5.2%
M	38025	4.0%
F	34857	3.7%
Other values (12)	157457	16.7%

count
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

1	79672

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	79672
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	79672	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1	79672	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	79672	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	79672	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	79672	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	79672	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	79672	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	79672	100.0%

age_upon_intake_(days)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	769.341701

Minimum	0
Maximum	9125
Zeros	450
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	0
5-th percentile	14
Q1	60
median	365
Q3	1095
95-th percentile	3285
Maximum	9125
Range	9125
Interquartile range (IQR)	1035

Descriptive statistics

Standard deviation	1056.00904
Coefficient of variation (CV)	1.372613806
Kurtosis	5.393341764
Mean	769.341701
Median Absolute Deviation (MAD)	337
Skewness	2.237217287
Sum	61294992
Variance	1115155.093
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
365	14580	18.3%
730	11529	14.5%
30	7458	9.4%
1095	5206	6.5%
60	4023	5.0%
1460	3071	3.9%
28	2819	3.5%
1825	2736	3.4%
21	2276	2.9%
120	2047	2.6%
Other values (35)	23927	30.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	450	0.6%
1	345	0.4%
2	271	0.3%
3	347	0.4%
4	186	0.2%
5	125	0.2%
6	190	0.2%
7	1194	1.5%
14	1596	2.0%
21	2276	2.9%

Value	Count	Frequency (%)
9125	1	< 0.1%
8030	4	< 0.1%
7300	13	< 0.1%
6935	13	< 0.1%
6570	27	< 0.1%
6205	59	0.1%
5840	106	0.1%
5475	214	0.3%
5110	249	0.3%
4745	379	0.5%

age_upon_intake_(years)
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	45
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.107785482

Minimum	0
Maximum	25
Zeros	450
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.03835616438
Q1	0.1643835616
median	1
Q3	3
95-th percentile	9
Maximum	25
Range	25
Interquartile range (IQR)	2.835616438

Descriptive statistics

Standard deviation	2.893175453
Coefficient of variation (CV)	1.372613806
Kurtosis	5.393341764
Mean	2.107785482
Median Absolute Deviation (MAD)	0.9232876712
Skewness	2.237217287
Sum	167931.4849
Variance	8.370464203
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
1	14580	18.3%
2	11529	14.5%
0.08219178082	7458	9.4%
3	5206	6.5%
0.1643835616	4023	5.0%
4	3071	3.9%
0.07671232877	2819	3.5%
5	2736	3.4%
0.05753424658	2276	2.9%
0.3287671233	2047	2.6%
Other values (35)	23927	30.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	450	0.6%
0.002739726027	345	0.4%
0.005479452055	271	0.3%
0.008219178082	347	0.4%
0.01095890411	186	0.2%
0.01369863014	125	0.2%
0.01643835616	190	0.2%
0.01917808219	1194	1.5%
0.03835616438	1596	2.0%
0.05753424658	2276	2.9%

Value	Count	Frequency (%)
25	1	< 0.1%
22	4	< 0.1%
20	13	< 0.1%
19	13	< 0.1%
18	27	< 0.1%
17	59	0.1%
16	106	0.1%
15	214	0.3%
14	249	0.3%
13	379	0.5%

age_upon_intake_age_group
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

(-0.025, 2.5]	59593
(2.5, 5.0]	11013
(7.5, 10.0]	3539
(5.0, 7.5]	3422
(10.0, 12.5]	1040
Other values (5)	1065

Length

Max length	13
Median length	13
Mean length	12.34119892
Min length	10

Characters and Unicode

Total characters	983248
Distinct characters	11
Distinct categories	6 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	(7.5, 10.0]
2nd row	(5.0, 7.5]
3rd row	(5.0, 7.5]
4th row	(7.5, 10.0]
5th row	(15.0, 17.5]

Common Values

Value	Count	Frequency (%)
(-0.025, 2.5]	59593	74.8%
(2.5, 5.0]	11013	13.8%
(7.5, 10.0]	3539	4.4%
(5.0, 7.5]	3422	4.3%
(10.0, 12.5]	1040	1.3%
(12.5, 15.0]	842	1.1%
(15.0, 17.5]	165	0.2%
(17.5, 20.0]	53	0.1%
(20.0, 22.5]	4	< 0.1%
(22.5, 25.0]	1	< 0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2.5	70606	44.3%
0.025	59593	37.4%
5.0	14435	9.1%
7.5	6961	4.4%
10.0	4579	2.9%
12.5	1882	1.2%
15.0	1007	0.6%
17.5	218	0.1%
20.0	57	< 0.1%
22.5	5	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
.	159344	16.2%
5	154708	15.7%
0	143901	14.6%
2	132149	13.4%
(	79672	8.1%
,	79672	8.1%
	79672	8.1%
]	79672	8.1%
-	59593	6.1%
1	7686	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	445623	45.3%
Other Punctuation	239016	24.3%
Open Punctuation	79672	8.1%
Space Separator	79672	8.1%
Close Punctuation	79672	8.1%
Dash Punctuation	59593	6.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
5	154708	34.7%
0	143901	32.3%
2	132149	29.7%
1	7686	1.7%
7	7179	1.6%

Other Punctuation

Value	Count	Frequency (%)
.	159344	66.7%
,	79672	33.3%

Open Punctuation

Value	Count	Frequency (%)
(	79672	100.0%

Space Separator

Value	Count	Frequency (%)
	79672	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	79672	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	59593	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	983248	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	159344	16.2%
5	154708	15.7%
0	143901	14.6%
2	132149	13.4%
(	79672	8.1%
,	79672	8.1%
	79672	8.1%
]	79672	8.1%
-	59593	6.1%
1	7686	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	983248	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	159344	16.2%
5	154708	15.7%
0	143901	14.6%
2	132149	13.4%
(	79672	8.1%
,	79672	8.1%
	79672	8.1%
]	79672	8.1%
-	59593	6.1%
1	7686	0.8%

intake_datetime
Categorical

HIGH CARDINALITY

Distinct	56747
Distinct (%)	71.2%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

2016-09-23 12:00:00	64
2014-07-09 12:58:00	63
2017-09-01 14:47:00	59
2014-02-19 13:51:00	49
2016-02-14 16:02:00	45
Other values (56742)	79392

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	1513768
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	45328 ?
Unique (%)	56.9%

Sample

1st row	2017-12-07 00:00:00
2nd row	2014-12-19 10:21:00
3rd row	2014-03-07 14:26:00
4th row	2014-04-02 15:55:00
5th row	2013-11-16 09:02:00

Common Values

Value	Count	Frequency (%)
2016-09-23 12:00:00	64	0.1%
2014-07-09 12:58:00	63	0.1%
2017-09-01 14:47:00	59	0.1%
2014-02-19 13:51:00	49	0.1%
2016-02-14 16:02:00	45	0.1%
2014-08-15 18:48:00	38	< 0.1%
2017-05-06 15:11:00	32	< 0.1%
2013-12-04 23:12:00	23	< 0.1%
2016-09-03 12:04:00	22	< 0.1%
2016-08-26 13:09:00	20	< 0.1%
Other values (56737)	79257	99.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
11:01:00	482	0.3%
11:02:00	404	0.3%
11:00:00	334	0.2%
11:03:00	323	0.2%
11:04:00	290	0.2%
11:05:00	288	0.2%
12:00:00	272	0.2%
11:07:00	258	0.2%
11:29:00	252	0.2%
12:58:00	247	0.2%
Other values (2900)	156194	98.0%

Most occurring characters

Value	Count	Frequency (%)
0	370364	24.5%
1	255603	16.9%
2	159806	10.6%
-	159344	10.5%
:	159344	10.5%
	79672	5.3%
5	63262	4.2%
4	61919	4.1%
3	53402	3.5%
6	48548	3.2%
Other values (3)	102504	6.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1115408	73.7%
Dash Punctuation	159344	10.5%
Other Punctuation	159344	10.5%
Space Separator	79672	5.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	370364	33.2%
1	255603	22.9%
2	159806	14.3%
5	63262	5.7%
4	61919	5.6%
3	53402	4.8%
6	48548	4.4%
7	46079	4.1%
8	31561	2.8%
9	24864	2.2%

Dash Punctuation

Value	Count	Frequency (%)
-	159344	100.0%

Other Punctuation

Value	Count	Frequency (%)
:	159344	100.0%

Space Separator

Value	Count	Frequency (%)
	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1513768	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	370364	24.5%
1	255603	16.9%
2	159806	10.6%
-	159344	10.5%
:	159344	10.5%
	79672	5.3%
5	63262	4.2%
4	61919	4.1%
3	53402	3.5%
6	48548	3.2%
Other values (3)	102504	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1513768	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	370364	24.5%
1	255603	16.9%
2	159806	10.6%
-	159344	10.5%
:	159344	10.5%
	79672	5.3%
5	63262	4.2%
4	61919	4.1%
3	53402	3.5%
6	48548	3.2%
Other values (3)	102504	6.8%

intake_month
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.584032031

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.366578833
Coefficient of variation (CV)	0.5113247957
Kurtosis	-1.164640683
Mean	6.584032031
Median Absolute Deviation (MAD)	3
Skewness	-0.02599353788
Sum	524563
Variance	11.33385304
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
5	7966	10.0%
10	7652	9.6%
6	7459	9.4%
3	6613	8.3%
11	6597	8.3%
7	6528	8.2%
8	6498	8.2%
9	6489	8.1%
4	6112	7.7%
12	6099	7.7%
Other values (2)	11659	14.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	5982	7.5%
2	5677	7.1%
3	6613	8.3%
4	6112	7.7%
5	7966	10.0%
6	7459	9.4%
7	6528	8.2%
8	6498	8.2%
9	6489	8.1%
10	7652	9.6%

Value	Count	Frequency (%)
12	6099	7.7%
11	6597	8.3%
10	7652	9.6%
9	6489	8.1%
8	6498	8.2%
7	6528	8.2%
6	7459	9.4%
5	7966	10.0%
4	6112	7.7%
3	6613	8.3%

intake_year
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2015.436101

Minimum	2013
Maximum	2018
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	2013
5-th percentile	2013
Q1	2014
median	2015
Q3	2017
95-th percentile	2017
Maximum	2018
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.30315675
Coefficient of variation (CV)	0.0006465879767
Kurtosis	-0.9707684268
Mean	2015.436101
Median Absolute Deviation (MAD)	1
Skewness	0.02591777362
Sum	160573825
Variance	1.698217516
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2015	18699	23.5%
2014	18645	23.4%
2016	17632	22.1%
2017	17440	21.9%
2013	4178	5.2%
2018	3078	3.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2013	4178	5.2%
2014	18645	23.4%
2015	18699	23.5%
2016	17632	22.1%
2017	17440	21.9%
2018	3078	3.9%

Value	Count	Frequency (%)
2018	3078	3.9%
2017	17440	21.9%
2016	17632	22.1%
2015	18699	23.5%
2014	18645	23.4%
2013	4178	5.2%

intake_monthyear
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	54
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

2015-06	2188
2015-05	2092
2016-05	2035
2014-05	1956
2014-07	1885
Other values (49)	69516

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	557704
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2017-12
2nd row	2014-12
3rd row	2014-03
4th row	2014-04
5th row	2013-11

Common Values

Value	Count	Frequency (%)
2015-06	2188	2.7%
2015-05	2092	2.6%
2016-05	2035	2.6%
2014-05	1956	2.5%
2014-07	1885	2.4%
2017-05	1883	2.4%
2017-06	1843	2.3%
2014-06	1795	2.3%
2015-10	1738	2.2%
2015-08	1717	2.2%
Other values (44)	60540	76.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2015-06	2188	2.7%
2015-05	2092	2.6%
2016-05	2035	2.6%
2014-05	1956	2.5%
2014-07	1885	2.4%
2017-05	1883	2.4%
2017-06	1843	2.3%
2014-06	1795	2.3%
2015-10	1738	2.2%
2015-08	1717	2.2%
Other values (44)	60540	76.0%

Most occurring characters

Value	Count	Frequency (%)
0	146648	26.3%
1	112599	20.2%
2	91448	16.4%
-	79672	14.3%
5	26665	4.8%
6	25091	4.5%
4	24757	4.4%
7	23968	4.3%
3	10791	1.9%
8	9576	1.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	478032	85.7%
Dash Punctuation	79672	14.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	146648	30.7%
1	112599	23.6%
2	91448	19.1%
5	26665	5.6%
6	25091	5.2%
4	24757	5.2%
7	23968	5.0%
3	10791	2.3%
8	9576	2.0%
9	6489	1.4%

Dash Punctuation

Value	Count	Frequency (%)
-	79672	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	557704	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	146648	26.3%
1	112599	20.2%
2	91448	16.4%
-	79672	14.3%
5	26665	4.8%
6	25091	4.5%
4	24757	4.4%
7	23968	4.3%
3	10791	1.9%
8	9576	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	557704	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	146648	26.3%
1	112599	20.2%
2	91448	16.4%
-	79672	14.3%
5	26665	4.8%
6	25091	4.5%
4	24757	4.4%
7	23968	4.3%
3	10791	1.9%
8	9576	1.7%

intake_weekday
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

Saturday	12037
Monday	11997
Wednesday	11575
Tuesday	11528
Friday	11205
Other values (2)	21330

Length

Max length	9
Median length	8
Mean length	7.158713224
Min length	6

Characters and Unicode

Total characters	570349
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Thursday
2nd row	Friday
3rd row	Friday
4th row	Wednesday
5th row	Saturday

Common Values

Value	Count	Frequency (%)
Saturday	12037	15.1%
Monday	11997	15.1%
Wednesday	11575	14.5%
Tuesday	11528	14.5%
Friday	11205	14.1%
Thursday	10995	13.8%
Sunday	10335	13.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
saturday	12037	15.1%
monday	11997	15.1%
wednesday	11575	14.5%
tuesday	11528	14.5%
friday	11205	14.1%
thursday	10995	13.8%
sunday	10335	13.0%

Most occurring characters

Value	Count	Frequency (%)
a	91709	16.1%
d	91247	16.0%
y	79672	14.0%
u	44895	7.9%
e	34678	6.1%
r	34237	6.0%
s	34098	6.0%
n	33907	5.9%
T	22523	3.9%
S	22372	3.9%
Other values (7)	81011	14.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	490677	86.0%
Uppercase Letter	79672	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	91709	18.7%
d	91247	18.6%
y	79672	16.2%
u	44895	9.1%
e	34678	7.1%
r	34237	7.0%
s	34098	6.9%
n	33907	6.9%
t	12037	2.5%
o	11997	2.4%
Other values (2)	22200	4.5%

Uppercase Letter

Value	Count	Frequency (%)
T	22523	28.3%
S	22372	28.1%
M	11997	15.1%
W	11575	14.5%
F	11205	14.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	570349	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	91709	16.1%
d	91247	16.0%
y	79672	14.0%
u	44895	7.9%
e	34678	6.1%
r	34237	6.0%
s	34098	6.0%
n	33907	5.9%
T	22523	3.9%
S	22372	3.9%
Other values (7)	81011	14.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	570349	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	91709	16.1%
d	91247	16.0%
y	79672	14.0%
u	44895	7.9%
e	34678	6.1%
r	34237	6.0%
s	34098	6.0%
n	33907	5.9%
T	22523	3.9%
S	22372	3.9%
Other values (7)	81011	14.2%

intake_hour
Real number (ℝ_≥0)

Distinct	24
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	13.48702179

Minimum	0
Maximum	23
Zeros	299
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	0
5-th percentile	9
Q1	11
median	13
Q3	16
95-th percentile	18
Maximum	23
Range	23
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.121172869
Coefficient of variation (CV)	0.2314204661
Kurtosis	1.573025261
Mean	13.48702179
Median Absolute Deviation (MAD)	2
Skewness	-0.150852226
Sum	1074538
Variance	9.74172008
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
11	12931	16.2%
12	10868	13.6%
13	9573	12.0%
14	8456	10.6%
16	8096	10.2%
15	8094	10.2%
17	5245	6.6%
18	4988	6.3%
10	3438	4.3%
9	1782	2.2%
Other values (14)	6201	7.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	299	0.4%
1	129	0.2%
2	83	0.1%
3	67	0.1%
4	37	< 0.1%
5	22	< 0.1%
6	151	0.2%
7	1253	1.6%
8	1420	1.8%
9	1782	2.2%

Value	Count	Frequency (%)
23	516	0.6%
22	532	0.7%
21	445	0.6%
20	334	0.4%
19	913	1.1%
18	4988	6.3%
17	5245	6.6%
16	8096	10.2%
15	8094	10.2%
14	8456	10.6%

intake_number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.126819962

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	13
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.4560570024
Coefficient of variation (CV)	0.4047292539
Kurtosis	57.63880095
Mean	1.126819962
Median Absolute Deviation (MAD)	0
Skewness	5.785008652
Sum	89776
Variance	0.2079879894
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	71993	90.4%
2	6052	7.6%
3	1152	1.4%
4	302	0.4%
5	101	0.1%
6	39	< 0.1%
7	15	< 0.1%
8	7	< 0.1%
10	3	< 0.1%
11	3	< 0.1%
Other values (3)	5	< 0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	71993	90.4%
2	6052	7.6%
3	1152	1.4%
4	302	0.4%
5	101	0.1%
6	39	< 0.1%
7	15	< 0.1%
8	7	< 0.1%
9	3	< 0.1%
10	3	< 0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
12	1	< 0.1%
11	3	< 0.1%
10	3	< 0.1%
9	3	< 0.1%
8	7	< 0.1%
7	15	< 0.1%
6	39	< 0.1%
5	101	0.1%
4	302	0.4%

time_in_shelter
Categorical

HIGH CARDINALITY

Distinct	29319
Distinct (%)	36.8%
Missing	0
Missing (%)	0.0%
Memory size	622.6 KiB

0 days 00:14:00.000000000	77
0 days 00:12:00.000000000	77
0 days 00:06:00.000000000	77
0 days 00:17:00.000000000	77
0 days 00:11:00.000000000	77
Other values (29314)	79287

Length

Max length	28
Median length	25
Mean length	25.33792298
Min length	25

Characters and Unicode

Total characters	2018723
Distinct characters	17
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17362 ?
Unique (%)	21.8%

Sample

1st row	0 days 14:07:00.000000000
2nd row	1 days 06:14:00.000000000
3rd row	1 days 02:44:00.000000000
4th row	4 days 23:17:00.000000000
5th row	0 days 02:52:00.000000000

Common Values

Value	Count	Frequency (%)
0 days 00:14:00.000000000	77	0.1%
0 days 00:12:00.000000000	77	0.1%
0 days 00:06:00.000000000	77	0.1%
0 days 00:17:00.000000000	77	0.1%
0 days 00:11:00.000000000	77	0.1%
0 days 00:13:00.000000000	76	0.1%
0 days 00:25:00.000000000	75	0.1%
0 days 00:21:00.000000000	75	0.1%
0 days 00:08:00.000000000	74	0.1%
0 days 00:19:00.000000000	72	0.1%
Other values (29309)	78915	99.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
days	79672	33.3%
0	18496	7.7%
4	8198	3.4%
1	5250	2.2%
5	4800	2.0%
3	4272	1.8%
2	3771	1.6%
6	3335	1.4%
7	2605	1.1%
8	2243	0.9%
Other values (1897)	106374	44.5%

Most occurring characters

Value	Count	Frequency (%)
0	985454	48.8%
:	159344	7.9%
	159344	7.9%
d	79672	3.9%
a	79672	3.9%
y	79672	3.9%
s	79672	3.9%
.	79672	3.9%
1	65108	3.2%
2	61926	3.1%
Other values (7)	189187	9.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1301675	64.5%
Lowercase Letter	318688	15.8%
Other Punctuation	239016	11.8%
Space Separator	159344	7.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	985454	75.7%
1	65108	5.0%
2	61926	4.8%
3	43432	3.3%
4	40405	3.1%
5	35731	2.7%
6	19699	1.5%
7	17809	1.4%
8	16208	1.2%
9	15903	1.2%

Lowercase Letter

Value	Count	Frequency (%)
d	79672	25.0%
a	79672	25.0%
y	79672	25.0%
s	79672	25.0%

Other Punctuation

Value	Count	Frequency (%)
:	159344	66.7%
.	79672	33.3%

Space Separator

Value	Count	Frequency (%)
	159344	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1700035	84.2%
Latin	318688	15.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	985454	58.0%
:	159344	9.4%
	159344	9.4%
.	79672	4.7%
1	65108	3.8%
2	61926	3.6%
3	43432	2.6%
4	40405	2.4%
5	35731	2.1%
6	19699	1.2%
Other values (3)	49920	2.9%

Latin

Value	Count	Frequency (%)
d	79672	25.0%
a	79672	25.0%
y	79672	25.0%
s	79672	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2018723	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	985454	48.8%
:	159344	7.9%
	159344	7.9%
d	79672	3.9%
a	79672	3.9%
y	79672	3.9%
s	79672	3.9%
.	79672	3.9%
1	65108	3.2%
2	61926	3.1%
Other values (7)	189187	9.4%

time_in_shelter_days
Real number (ℝ_≥0)

Distinct	29319
Distinct (%)	36.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.75711555

Minimum	0
Maximum	1606.194444
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	622.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.04930555556
Q1	1.102083333
median	4.987152778
Q3	13.61076389
95-th percentile	71.10881944
Maximum	1606.194444
Range	1606.194444
Interquartile range (IQR)	12.50868056

Descriptive statistics

Standard deviation	41.67935938
Coefficient of variation (CV)	2.487263352
Kurtosis	208.0111158
Mean	16.75711555
Median Absolute Deviation (MAD)	4.263541667
Skewness	10.52498995
Sum	1335072.91
Variance	1737.168998
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.009722222222	77	0.1%
0.008333333333	77	0.1%
0.004166666667	77	0.1%
0.01180555556	77	0.1%
0.007638888889	77	0.1%
0.009027777778	76	0.1%
0.01736111111	75	0.1%
0.01458333333	75	0.1%
0.005555555556	74	0.1%
0.01319444444	72	0.1%
Other values (29309)	78915	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
0.0006944444444	31	< 0.1%
0.001388888889	37	< 0.1%
0.002083333333	47	0.1%
0.002777777778	51	0.1%
0.003472222222	70	0.1%
0.004166666667	77	0.1%
0.004861111111	56	0.1%
0.005555555556	74	0.1%
0.00625	60	0.1%

Value	Count	Frequency (%)
1606.194444	1	< 0.1%
1478.2	1	< 0.1%
1411.147917	1	< 0.1%
1268.975	1	< 0.1%
1268.872917	1	< 0.1%
1255.047222	1	< 0.1%
1206.846528	1	< 0.1%
1157.941667	1	< 0.1%
1101.784028	1	< 0.1%
1067.829861	1	< 0.1%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	age_upon_outcome	animal_id_outcome	date_of_birth	outcome_subtype	outcome_type	sex_upon_outcome	age_upon_outcome_(days)	age_upon_outcome_(years)	age_upon_outcome_age_group	outcome_datetime	outcome_month	outcome_year	outcome_monthyear	outcome_weekday	outcome_hour	outcome_number	dob_year	dob_month	dob_monthyear	age_upon_intake	animal_id_intake	animal_type	breed	color	found_location	intake_condition	intake_type	sex_upon_intake	count	age_upon_intake_(days)	age_upon_intake_(years)	age_upon_intake_age_group	intake_datetime	intake_month	intake_year	intake_monthyear	intake_weekday	intake_hour	intake_number	time_in_shelter	time_in_shelter_days
0	10 years	A006100	2007-07-09 00:00:00	NaN	Return to Owner	Neutered Male	3650	10.0	(7.5, 10.0]	2017-12-07 14:07:00	12	2017	2017-12	Thursday	0	1.0	2007	7	2017-12	10 years	A006100	Dog	Spinone Italiano Mix	Yellow/White	Colony Creek And Hunters Trace in Austin (TX)	Normal	Stray	Neutered Male	1	3650	10.0	(7.5, 10.0]	2017-12-07 00:00:00	12	2017	2017-12	Thursday	14	1.0	0 days 14:07:00.000000000	0.588194
1	7 years	A006100	2007-07-09 00:00:00	NaN	Return to Owner	Neutered Male	2555	7.0	(5.0, 7.5]	2014-12-20 16:35:00	12	2014	2014-12	Saturday	16	2.0	2007	7	2014-12	7 years	A006100	Dog	Spinone Italiano Mix	Yellow/White	8700 Research Blvd in Austin (TX)	Normal	Public Assist	Neutered Male	1	2555	7.0	(5.0, 7.5]	2014-12-19 10:21:00	12	2014	2014-12	Friday	10	2.0	1 days 06:14:00.000000000	1.259722
2	6 years	A006100	2007-07-09 00:00:00	NaN	Return to Owner	Neutered Male	2190	6.0	(5.0, 7.5]	2014-03-08 17:10:00	3	2014	2014-03	Saturday	17	3.0	2007	7	2014-03	6 years	A006100	Dog	Spinone Italiano Mix	Yellow/White	8700 Research in Austin (TX)	Normal	Public Assist	Neutered Male	1	2190	6.0	(5.0, 7.5]	2014-03-07 14:26:00	3	2014	2014-03	Friday	14	3.0	1 days 02:44:00.000000000	1.113889
3	10 years	A047759	2004-04-02 00:00:00	Partner	Transfer	Neutered Male	3650	10.0	(7.5, 10.0]	2014-04-07 15:12:00	4	2014	2014-04	Monday	15	1.0	2004	4	2014-04	10 years	A047759	Dog	Dachshund	Tricolor	Austin (TX)	Normal	Owner Surrender	Neutered Male	1	3650	10.0	(7.5, 10.0]	2014-04-02 15:55:00	4	2014	2014-04	Wednesday	15	1.0	4 days 23:17:00.000000000	4.970139
4	16 years	A134067	1997-10-16 00:00:00	NaN	Return to Owner	Neutered Male	5840	16.0	(15.0, 17.5]	2013-11-16 11:54:00	11	2013	2013-11	Saturday	11	1.0	1997	10	2013-11	16 years	A134067	Dog	Shetland Sheepdog	Brown/White	12034 Research Blvd in Austin (TX)	Injured	Public Assist	Neutered Male	1	5840	16.0	(15.0, 17.5]	2013-11-16 09:02:00	11	2013	2013-11	Saturday	9	1.0	0 days 02:52:00.000000000	0.119444
5	15 years	A141142	1998-06-01 00:00:00	NaN	Return to Owner	Spayed Female	5475	15.0	(12.5, 15.0]	2013-11-17 11:40:00	11	2013	2013-11	Sunday	11	1.0	1998	6	2013-11	15 years	A141142	Dog	Labrador Retriever/Pit Bull	Black/White	Austin (TX)	Aged	Stray	Spayed Female	1	5475	15.0	(12.5, 15.0]	2013-11-16 14:46:00	11	2013	2013-11	Saturday	14	1.0	0 days 20:54:00.000000000	0.870833
6	15 years	A163459	1999-10-19 00:00:00	NaN	Return to Owner	Intact Female	5475	15.0	(12.5, 15.0]	2014-11-14 19:28:00	11	2014	2014-11	Friday	19	1.0	1999	10	2014-11	15 years	A163459	Dog	Miniature Schnauzer Mix	Black/Gray	Ih 35 And 41St St in Austin (TX)	Normal	Stray	Intact Female	1	5475	15.0	(12.5, 15.0]	2014-11-14 15:11:00	11	2014	2014-11	Friday	15	1.0	0 days 04:17:00.000000000	0.178472
7	15 years	A165752	1999-08-18 00:00:00	NaN	Return to Owner	Neutered Male	5475	15.0	(12.5, 15.0]	2014-09-15 16:35:00	9	2014	2014-09	Monday	16	1.0	1999	8	2014-09	15 years	A165752	Dog	Lhasa Apso Mix	Brown/White	Gatlin Gun Rd And Brodie in Austin (TX)	Normal	Stray	Neutered Male	1	5475	15.0	(12.5, 15.0]	2014-09-15 11:28:00	9	2014	2014-09	Monday	11	1.0	0 days 05:07:00.000000000	0.213194
8	15 years	A178569	1999-03-17 00:00:00	NaN	Return to Owner	Neutered Male	5475	15.0	(12.5, 15.0]	2014-03-23 15:57:00	3	2014	2014-03	Sunday	15	1.0	1999	3	2014-03	15 years	A178569	Dog	Shetland Sheepdog Mix	White/Black	Austin (TX)	Normal	Public Assist	Neutered Male	1	5475	15.0	(12.5, 15.0]	2014-03-17 09:45:00	3	2014	2014-03	Monday	9	1.0	6 days 06:12:00.000000000	6.258333
9	18 years	A189592	1997-08-01 00:00:00	NaN	Return to Owner	Spayed Female	6570	18.0	(17.5, 20.0]	2015-09-18 19:04:00	9	2015	2015-09	Friday	19	1.0	1997	8	2015-09	18 years	A189592	Dog	Shetland Sheepdog Mix	Brown/White	Chesney And Slaughter in Austin (TX)	Normal	Stray	Spayed Female	1	6570	18.0	(17.5, 20.0]	2015-09-18 17:46:00	9	2015	2015-09	Friday	17	1.0	0 days 01:18:00.000000000	0.054167

Last rows

	age_upon_outcome	animal_id_outcome	date_of_birth	outcome_subtype	outcome_type	sex_upon_outcome	age_upon_outcome_(days)	age_upon_outcome_(years)	age_upon_outcome_age_group	outcome_datetime	outcome_month	outcome_year	outcome_monthyear	outcome_weekday	outcome_hour	outcome_number	dob_year	dob_month	dob_monthyear	age_upon_intake	animal_id_intake	animal_type	breed	color	found_location	intake_condition	intake_type	sex_upon_intake	count	age_upon_intake_(days)	age_upon_intake_(years)	age_upon_intake_age_group	intake_datetime	intake_month	intake_year	intake_monthyear	intake_weekday	intake_hour	intake_number	time_in_shelter	time_in_shelter_days
79662	2 weeks	A769055	2018-03-14 00:00:00	Partner	Transfer	Unknown	14	0.038356	(-0.025, 2.5]	2018-03-29 18:12:00	3	2018	2018-03	Thursday	18	1.0	2018	3	2018-03	2 weeks	A769055	Cat	Domestic Shorthair Mix	Cream	1208 Coaches Crossing in Pflugerville (TX)	Normal	Stray	Unknown	1	14	0.038356	(-0.025, 2.5]	2018-03-29 16:23:00	3	2018	2018-03	Thursday	16	1.0	0 days 01:49:00.000000000	0.075694
79663	2 weeks	A769056	2018-03-14 00:00:00	Partner	Transfer	Unknown	14	0.038356	(-0.025, 2.5]	2018-03-29 18:13:00	3	2018	2018-03	Thursday	18	1.0	2018	3	2018-03	2 weeks	A769056	Cat	Domestic Shorthair Mix	Black	1208 Coaches Crossing in Pflugerville (TX)	Normal	Stray	Unknown	1	14	0.038356	(-0.025, 2.5]	2018-03-29 16:23:00	3	2018	2018-03	Thursday	16	1.0	0 days 01:50:00.000000000	0.076389
79664	2 weeks	A769057	2018-03-14 00:00:00	Partner	Transfer	Unknown	14	0.038356	(-0.025, 2.5]	2018-03-29 18:13:00	3	2018	2018-03	Thursday	18	1.0	2018	3	2018-03	2 weeks	A769057	Cat	Domestic Shorthair Mix	Gray Tabby	1208 Coaches Crossing in Pflugerville (TX)	Normal	Stray	Unknown	1	14	0.038356	(-0.025, 2.5]	2018-03-29 16:23:00	3	2018	2018-03	Thursday	16	1.0	0 days 01:50:00.000000000	0.076389
79665	2 weeks	A769058	2018-03-14 00:00:00	Partner	Transfer	Unknown	14	0.038356	(-0.025, 2.5]	2018-03-29 18:13:00	3	2018	2018-03	Thursday	18	1.0	2018	3	2018-03	2 weeks	A769058	Cat	Domestic Shorthair Mix	Blue	1208 Coaches Crossing in Pflugerville (TX)	Normal	Stray	Unknown	1	14	0.038356	(-0.025, 2.5]	2018-03-29 16:23:00	3	2018	2018-03	Thursday	16	1.0	0 days 01:50:00.000000000	0.076389
79666	2 weeks	A769059	2018-03-14 00:00:00	Partner	Transfer	Unknown	14	0.038356	(-0.025, 2.5]	2018-03-30 09:23:00	3	2018	2018-03	Friday	9	1.0	2018	3	2018-03	2 weeks	A769059	Cat	Domestic Shorthair Mix	Blue	1208 Coaches Crossing in Pflugerville (TX)	Normal	Stray	Unknown	1	14	0.038356	(-0.025, 2.5]	2018-03-29 16:23:00	3	2018	2018-03	Thursday	16	1.0	0 days 17:00:00.000000000	0.708333
79667	2 weeks	A769060	2018-03-14 00:00:00	Partner	Transfer	Unknown	14	0.038356	(-0.025, 2.5]	2018-03-29 18:14:00	3	2018	2018-03	Thursday	18	1.0	2018	3	2018-03	2 weeks	A769060	Cat	Domestic Shorthair Mix	Tortie	1208 Coaches Crossing in Pflugerville (TX)	Normal	Stray	Unknown	1	14	0.038356	(-0.025, 2.5]	2018-03-29 16:23:00	3	2018	2018-03	Thursday	16	1.0	0 days 01:51:00.000000000	0.077083
79668	2 years	A769064	2016-03-29 00:00:00	Rabies Risk	Euthanasia	Unknown	730	2.000000	(-0.025, 2.5]	2018-03-29 18:30:00	3	2018	2018-03	Thursday	18	1.0	2016	3	2018-03	2 years	A769064	Other	Bat Mix	Brown	2519 Scarbrough Dr in Travis (TX)	Normal	Wildlife	Unknown	1	730	2.000000	(-0.025, 2.5]	2018-03-29 17:13:00	3	2018	2018-03	Thursday	17	1.0	0 days 01:17:00.000000000	0.053472
79669	1 year	A769065	2017-03-29 00:00:00	Rabies Risk	Euthanasia	Unknown	365	1.000000	(-0.025, 2.5]	2018-03-29 18:28:00	3	2018	2018-03	Thursday	18	1.0	2017	3	2018-03	1 year	A769065	Other	Bat Mix	Brown	1122 Walton Ln in Austin (TX)	Normal	Wildlife	Unknown	1	365	1.000000	(-0.025, 2.5]	2018-03-29 17:19:00	3	2018	2018-03	Thursday	17	1.0	0 days 01:09:00.000000000	0.047917
79670	10 months	A769066	2017-05-01 00:00:00	NaN	Return to Owner	Intact Male	300	0.821918	(-0.025, 2.5]	2018-03-31 12:37:00	3	2018	2018-03	Saturday	12	1.0	2017	5	2018-03	5 months	A769066	Dog	Labrador Retriever Mix	Black/White	12034 Research Blvd Sb in Austin (TX)	Normal	Stray	Intact Male	1	150	0.410959	(-0.025, 2.5]	2018-03-29 18:19:00	3	2018	2018-03	Thursday	18	1.0	1 days 18:18:00.000000000	1.762500
79671	10 years	A769067	2008-03-29 00:00:00	Suffering	Euthanasia	Spayed Female	3650	10.000000	(7.5, 10.0]	2018-03-30 13:52:00	3	2018	2018-03	Friday	13	1.0	2008	3	2018-03	10 years	A769067	Dog	Boxer Mix	Brown Brindle	11216 Jollyville Rd 216 in Austin (TX)	Aged	Stray	Spayed Female	1	3650	10.000000	(7.5, 10.0]	2018-03-29 18:20:00	3	2018	2018-03	Thursday	18	1.0	0 days 19:32:00.000000000	0.813889

Most frequently occurring

	age_upon_outcome	animal_id_outcome	date_of_birth	outcome_subtype	outcome_type	sex_upon_outcome	age_upon_outcome_(days)	age_upon_outcome_(years)	age_upon_outcome_age_group	outcome_datetime	outcome_month	outcome_year	outcome_monthyear	outcome_weekday	outcome_hour	outcome_number	dob_year	dob_month	dob_monthyear	age_upon_intake	animal_id_intake	animal_type	breed	color	found_location	intake_condition	intake_type	sex_upon_intake	count	age_upon_intake_(days)	age_upon_intake_(years)	age_upon_intake_age_group	intake_datetime	intake_month	intake_year	intake_monthyear	intake_weekday	intake_hour	intake_number	time_in_shelter	time_in_shelter_days	# duplicates
7	10 months	A695798	2014-02-23 00:00:00	Suffering	Euthanasia	Neutered Male	300	0.821918	(-0.025, 2.5]	2015-01-23 12:34:00	1	2015	2015-01	Friday	12	1.0	2014	2	2015-01	10 months	A695798	Cat	Domestic Shorthair Mix	Orange	Austin (TX)	Sick	Owner Surrender	Neutered Male	1	300	0.821918	(-0.025, 2.5]	2015-01-23 11:48:00	1	2015	2015-01	Friday	11	1.0	0 days 00:46:00.000000000	0.031944	4
8	10 months	A761936	2017-01-12 00:00:00	Partner	Transfer	Intact Male	300	0.821918	(-0.025, 2.5]	2017-11-16 12:54:00	11	2017	2017-11	Thursday	12	1.0	2017	1	2017-11	9 months	A761936	Dog	Scottish Terrier Mix	Brown Brindle	8400 Old Bee Caves in Austin (TX)	Normal	Stray	Intact Male	1	270	0.739726	(-0.025, 2.5]	2017-11-12 11:16:00	11	2017	2017-11	Sunday	11	1.0	4 days 01:38:00.000000000	4.068056	4
0	1 month	A750963	2017-05-04 00:00:00	Foster	Adoption	Neutered Male	30	0.082192	(-0.025, 2.5]	2018-03-27 11:33:00	7	2017	2017-07	Saturday	18	1.0	2017	5	2017-07	10 months	A750963	Cat	Domestic Medium Hair Mix	Blue	Austin (TX)	Normal	Owner Surrender	Neutered Male	1	300	0.821918	(-0.025, 2.5]	2017-07-01 18:37:00	3	2018	2018-03	Tuesday	11	1.0	268 days 16:56:00.000000000	268.705556	2
1	1 weeks	A768755	2018-03-21 00:00:00	Partner	Transfer	Unknown	7	0.019178	(-0.025, 2.5]	2018-03-29 15:57:00	3	2018	2018-03	Thursday	15	1.0	2018	3	2018-03	3 days	A768755	Cat	Domestic Shorthair Mix	Brown Tabby	1406 Sahara Avenue in Austin (TX)	Nursing	Stray	Unknown	1	3	0.008219	(-0.025, 2.5]	2018-03-24 15:50:00	3	2018	2018-03	Saturday	15	1.0	5 days 00:07:00.000000000	5.004861	2
2	1 year	A681446	2013-06-16 00:00:00	Rabies Risk	Euthanasia	Unknown	365	1.000000	(-0.025, 2.5]	2014-06-16 17:14:00	6	2014	2014-06	Monday	17	1.0	2013	6	2014-06	1 year	A681446	Other	Bat	Brown	6208 Tupelo Dr in Austin (TX)	Normal	Wildlife	Unknown	1	365	1.000000	(-0.025, 2.5]	2014-06-16 16:38:00	6	2014	2014-06	Monday	16	1.0	0 days 00:36:00.000000000	0.025000	2
3	1 year	A682781	2013-01-02 00:00:00	SCRP	Transfer	Neutered Male	365	1.000000	(-0.025, 2.5]	2014-08-13 18:41:00	7	2014	2014-07	Thursday	9	1.0	2013	1	2014-07	1 year	A682781	Cat	Domestic Shorthair Mix	White/Black	Colorado & 6Th Street in Austin (TX)	Normal	Stray	Neutered Male	1	365	1.000000	(-0.025, 2.5]	2014-07-03 09:00:00	8	2014	2014-08	Wednesday	18	1.0	41 days 09:41:00.000000000	41.403472	2
4	1 year	A698864	2014-03-19 00:00:00	Rabies Risk	Euthanasia	Unknown	365	1.000000	(-0.025, 2.5]	2015-03-22 10:43:00	3	2015	2015-03	Sunday	10	1.0	2014	3	2015-03	1 year	A698864	Other	Skunk Mix	Black	12129 Glass Rd in Travis (TX)	Injured	Wildlife	Unknown	1	365	1.000000	(-0.025, 2.5]	2015-03-19 13:37:00	3	2015	2015-03	Thursday	13	1.0	2 days 21:06:00.000000000	2.879167	2
5	1 year	A768754	2017-03-24 00:00:00	Snr	Transfer	Intact Female	365	1.000000	(-0.025, 2.5]	2018-03-31 19:26:00	3	2018	2018-03	Saturday	19	1.0	2017	3	2018-03	1 year	A768754	Cat	Domestic Shorthair Mix	Black	1406 Sahara Avenue in Austin (TX)	Nursing	Stray	Intact Female	1	365	1.000000	(-0.025, 2.5]	2018-03-24 15:50:00	3	2018	2018-03	Saturday	15	1.0	7 days 03:36:00.000000000	7.150000	2
6	1 year	A768917	2017-03-27 00:00:00	Rabies Risk	Euthanasia	Unknown	365	1.000000	(-0.025, 2.5]	2018-03-27 14:23:00	3	2018	2018-03	Tuesday	14	1.0	2017	3	2018-03	1 year	A768917	Other	Bat Mix	Brown	1900 Simond Avenue in Austin (TX)	Normal	Wildlife	Unknown	1	365	1.000000	(-0.025, 2.5]	2018-03-27 12:32:00	3	2018	2018-03	Tuesday	12	1.0	0 days 01:51:00.000000000	0.077083	2
9	2 years	A686827	2012-02-27 00:00:00	SCRP	Transfer	Spayed Female	730	2.000000	(-0.025, 2.5]	2014-09-01 12:12:00	8	2014	2014-08	Thursday	9	1.0	2012	2	2014-08	2 years	A686827	Cat	Domestic Shorthair Mix	Calico	1016 Camino La Costa in Austin (TX)	Normal	Stray	Spayed Female	1	730	2.000000	(-0.025, 2.5]	2014-08-28 09:00:00	9	2014	2014-09	Monday	12	1.0	4 days 03:12:00.000000000	4.133333	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values